Linear combination of densities and its direct estimation framework with applications

Graph-based semi-supervised learning by mixed label propagation with a soft constraint

(2014) Xiaolan Liu et al.   INFORMATION SCIENCES

A support vector machine-based context-ranking model for question answering

(2012) Show-Jane Yen et al.   INFORMATION SCIENCES

Probabilistic support vector machines for classification of noise affected data

(2012) Han-Xiong Li et al.   INFORMATION SCIENCES

On minimum distribution discrepancy support vector machine for domain adaptation

(2012) Jianwen Tao et al.   PATTERN RECOGNITION

Theoretical analysis for solution of support vector data description

(2011) Xiaoming Wang et al.   NEURAL NETWORKS

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective

(2009) Fuzhen Zhuang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

L₂ Kernel Classification

(2009) JooSeuk Kim et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression

(2008) Ichiro Takeuchi et al.   NEURAL COMPUTATION

FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation

(2007) Zhaohong Deng et al.   PATTERN RECOGNITION