期刊： JOURNAL OF CLASSIFICATION, 2020; 37 (1)
Ordinal classification problems are applied in many fields. In the field of multivariate statistical analysis, these tasks are referred to as ordinal ......
期刊： JOURNAL OF CLASSIFICATION, 2020; 37 (2)
Because the validity of diagnostic information generated by cognitive diagnosis models (CDMs) depends on the appropriateness of the estimated attribut......
期刊： JOURNAL OF CLASSIFICATION, 2020; 37 (2)
The latent attribute space in cognitive diagnosis models (CDMs) is often assumed to be unstructured or saturated. In recent years, the number of laten......
期刊： JOURNAL OF CLASSIFICATION, 2020; 37 (2)
We develop a Bayesian local influence procedure for generalized failure time models with latent variables and multivariate censored data. We propose t......
期刊： JOURNAL OF CLASSIFICATION, 2020; 37 (3)
Dimensionality reduction plays an important role in many machine learning and pattern recognition applications. Linear discriminant analysis (LDA) is ......
期刊： JOURNAL OF CLASSIFICATION, 2019; 36 (2)
Aiming at the small sample with high-feature dimension and few numbers will cause a serious problem if simply using the traditional Elman neural netwo......
期刊： JOURNAL OF CLASSIFICATION, 2019; 36 (2)
The vector representation is one of the important parts in document clustering or classification, which can quantify the text. In this paper, a novel ......
期刊： JOURNAL OF CLASSIFICATION, 2019; 36 (3)
The authors missed an important reference "Liu, Luo, & Liu, 2014" on the original version of this article.
期刊： JOURNAL OF CLASSIFICATION, 2019; 36 (3)
The piecewise growth mixture model is used in longitudinal studies to tackle non-continuous trajectories and unobserved heterogeneity in a compound wa......
期刊： JOURNAL OF CLASSIFICATION, 0; ()
Cognitive diagnostic computerized adaptive testing (CD-CAT) purports to combine the strengths of both CAT and cognitive diagnosis. Currently, large nu......
期刊： JOURNAL OF CLASSIFICATION, 2018; 35 (1)
The hinge loss support vector machine (SVM) is sensitive to outliers. This paper proposes a new support vector machine with a pinball loss function (P......
期刊： JOURNAL OF CLASSIFICATION, 2018; 35 (2)
We consider two novel functional classification methods for binary response and functional predictor. We extend the most popular functional sufficient......
期刊： JOURNAL OF CLASSIFICATION, 2018; 35 (3)
Depth functions have many applications in multivariate data analysis, including discriminant analysis and classification. In this paper, we introduce ......
期刊： JOURNAL OF CLASSIFICATION, 2018; 35 (3)
Time series clustering is to assign a set of time series into groups that share certain similarity. It has become an attractive analytic tool as many ......
期刊： JOURNAL OF CLASSIFICATION, 2017; 34 (1)
Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) can descri......
