89 citations · 252 across the 18 of their papers we have counts for
12 papers · 1 filter
Semi-supervised Learning with Missing Values Imputation
Buliao Huang, Yunhui Zhu, Muhammad Usman +1
Incomplete instances with various missing attributes in many real-world applications have brought challenges to the classification tasks. Missing values imputation methods are ofte…
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…
Online Dynamic Network Embedding
Haiwei Huang, Jinlong Li, Huimin He +1
Network embedding is a very important method for network data. However, most of the algorithms can only deal with static networks. In this paper, we propose an algorithm Recurrent…
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…
Use Short Isometric Shapelets to Accelerate Binary Time Series Classification
Weibo Shu, Yaqiang Yao, Shengfei Lyu +2
In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification. However, its high time compl…
When does Diversity Help Generalization in Classification Ensembles?
Yijun Bian, Huanhuan Chen
Ensembles, as a widely used and effective technique in the machine learning community, succeed within a key element -- "diversity." The relationship between diversity and generaliz…