most citedMulti-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 2 cited

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables

Xingyu Wu, Bingbing Jiang, Yan Zhong +1

Causal variables in Markov boundary (MB) have been widely applied in extensive single-label tasks. While few researches focus on the causal variable discovery in multi-label data d…

cs.LG2020

Probabilistic Classification Vector Machine for Multi-Class Classification

Shengfei Lyu, Xing Tian, Yang Li +2

The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian s…

cs.LG2018

Multiple Kernel -Means Clustering by Selecting Representative Kernels

Yaqiang Yao, Huanhuan Chen

To cluster data that are not linearly separable in the original feature space, -means clustering was extended to the kernel version. However, the performance of kernel -means…