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JOURNAL OF MACHINE LEARNING RESEARCH

出版年份:2001 年文章数:8429 投稿命中率: 开通期刊会员,数据随心看

出版周期:Bimonthly 自引率:5.8% 审稿周期: 开通期刊会员,数据随心看

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期刊讨论

  1. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2021-12-29 桑晒麦拉

    长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?

    1

    展开1条回复
  2. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2021-12-28 乌云背后的幸福线

    讨论的字数一般控制在多少?

    1

    展开1条回复
  3. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2020-01-16 ms7442275544109079

    审稿速度:5.0
    经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2019-07-03 ms248080445684567

    3周被拒

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2018-07-03 ms4600315023772712

    搞应用的泡沫越来越大,搞理论的已经死了.................

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2017-11-27 ms6459520362745523

    绝对的best的ml journal 比pami难,分到2区挺搞笑。

    0

  7. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2013-02-23 ms2983094698733738

    审稿速度:12.0
    经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...
    pami毕竟是ieee的期刊,所以更侧重于应用。
    jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:
    ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~
    cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp

    0

  8. [GetPortalCommentsPageByObjectIdResponse(id=1098816, encodeId=2227109881623, content=长篇幅讨论是否展示作者对课题的思考?审稿人对MS印象好?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=0, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/72cbdf927f7647bd84938927488b4795/94fe7f0fd8274d94807c5f3458f0c4e2.jpg, createdBy=9cd75497899, createdName=桑晒麦拉, createdTime=Wed Dec 29 14:52:50 CST 2021, time=2021-12-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1098815, encodeId=2adc1098815b9, content=讨论的字数一般控制在多少?, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=54, replyNumber=1, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210512/3d5d7c32f9074d95860d2fb0b87610c7/e46b7b89bc8c409db09184416343fca3.jpg, createdBy=d20e5497900, createdName=乌云背后的幸福线, createdTime=Tue Dec 28 14:52:50 CST 2021, time=2021-12-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=856870, encodeId=b3248568e0cd, content=审稿速度:5.0<br>经验分享:一篇就是几十页的长文,被中科院升级版分到3区,天大的笑话。让我拿升级版的三个一区换这个我都愿意。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5cee5414068, createdName=ms7442275544109079, createdTime=Thu Jan 16 09:24:58 CST 2020, time=2020-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=852364, encodeId=69b985236404, content=3周被拒 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d9055413985, createdName=ms248080445684567, createdTime=Wed Jul 03 15:29:08 CST 2019, time=2019-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=844869, encodeId=27b2844869ee, content=搞应用的泡沫越来越大,搞理论的已经死了................. , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=101, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8ae65413999, createdName=ms4600315023772712, createdTime=Tue Jul 03 14:29:14 CST 2018, time=2018-07-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=839544, encodeId=fbe483954480, content=绝对的best的ml journal 比pami难,分到2区挺搞笑。 , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=91, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ed005413970, createdName=ms6459520362745523, createdTime=Mon Nov 27 07:06:37 CST 2017, time=2017-11-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=824074, encodeId=cc768240e4b3, content=审稿速度:12.0<br>经验分享:虽然if只有不到3,但在我心目中是ml最顶级的期刊,完爆pami...<br> pami毕竟是ieee的期刊,所以更侧重于应用。<br> jmlr是cs的期刊,基本上每篇文章20页起,几乎每篇文章都有有若干的定理证明。这也正体现出cs和ee的差别:<br> ee的更注重结果:我提出一个idea,创新性挺高,实验结果也很nb,we are happy~<br> cs则不仅仅看重结果,看创新性,更重要的是,我要从理论上证明我的方法牛逼,比如算法的convergence,performance的upp , beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=27a45414023, createdName=ms2983094698733738, createdTime=Sat Feb 23 09:01:00 CST 2013, time=2013-02-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=483938, encodeId=aedf48393870, content=审稿速度:2.0<br>经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。, beContent=null, objectType=tool_impact_factor, channel=null, level=null, likeNumber=470, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bab243640, createdName=johanhu, createdTime=Fri Aug 12 15:56:00 CST 2011, time=2011-08-12, status=1, ipAttribution=)]
    2011-08-12 johanhu

    审稿速度:2.0
    经验分享:机器学习神经网络方面水平最高的期刊。命中率很低。

    0

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