Wei Chu

发表

Extensions of Gaussian Processes for Ranking : Semi-supervised and Active Learning

Wei Chu, W. Chu, 2005 .

Relational Learning with Gaussian Processes

Wei Chu, Zoubin Ghahramani, S. Sathiya Keerthi, 2006, NIPS.

Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model

Wei Chu, Zoubin Ghahramani, David L. Wild, 2005, Pacific Symposium on Biocomputing.

A machine learning approach for the curation of biomedical literature: KDD Cup 2002 (task 1)

Wei Chu, Han Tong Loh, S. Sathiya Keerthi, 2002, SKDD.

Biomarker discovery in microarray gene expression data with Gaussian processes

Wei Chu, Zoubin Ghahramani, Francesco Falciani, 2005, Bioinform..

Gaussian Processes for Ordinal Regression

Wei Chu, Zoubin Ghahramani, Zoubin Ghahramani, 2005, J. Mach. Learn. Res..

Preference learning with Gaussian processes

Wei Chu, Zoubin Ghahramani, Zoubin Ghahramani, 2005, ICML.

Stochastic Relational Models for Discriminative Link Prediction

Wei Chu, Volker Tresp, Shipeng Yu, 2006, NIPS.

Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction

Wei Chu, Zoubin Ghahramani, David L. Wild, 2006, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A general formulation for support vector machines

S. Keerthi, Wei Chu, C. Ong, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Bayesian Segmental Models with Alignment Profiles for Protein Secondary Structure Prediction

Wei Chu, D. Wild, 2004 .

A Note on Least Squares Support Vector Machines

S. Keerthi, Wei Chu, C. Ong, 2007 .

Baysian Segmental Models for Protein Secondary Structure and Contact Map Prediction

Wei Chu, Zoubin Ghahramani, Alexei A. Podtelezhnikov, 2006 .

Bayesian approach to support vector machines

Wei Chu, Wei Chu, W. Chu, 2003 .

Multi-category Classification by Soft-Max Combination of Binary Classifiers

Wei Chu, S. Sathiya Keerthi, Aun Neow Poo, 2003, Multiple Classifier Systems.

Bayesian Trigonometric Support Vector Classifier

Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, 2003, Neural Computation.

A Unified Loss Function in Bayesian Framework for Support Vector Regression

Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, 2001, ICML.

Bayesian support vector regression using a unified loss function

Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, 2004, IEEE Transactions on Neural Networks.

Support Vector Ordinal Regression

Wei Chu, S. Sathiya Keerthi, S. Keerthi, 2007, Neural Computation.

Bayesian Support Vector Machines for Feature Ranking and Selection

Wei Chu, Zoubin Ghahramani, S. Sathiya Keerthi, 2006, Feature Extraction.

Hidden Common Cause Relations in Relational Learning

Wei Chu, Zoubin Ghahramani, Ricardo Bezerra de Andrade e Silva, 2007, NIPS.

A Support Vector Approach to Censored Targets

Wei Chu, Martin Jansche, Pannagadatta K. Shivaswamy, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Semi-Supervised Gaussian Process Classifiers

Wei Chu, S. Sathiya Keerthi, Vikas Sindhwani, 2007, IJCAI.

Probabilistic Models for Incomplete Multi-dimensional Arrays

Wei Chu, Zoubin Ghahramani, Zoubin Ghahramani, 2009, AISTATS.

Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression

Wei Chu, Shirish K. Shevade, S. Shevade, 2006, Sixth International Conference on Data Mining (ICDM'06).

Gaussian Process Models for Link Analysis and Transfer Learning

Wei Chu, Kai Yu, Kai Yu, 2007, NIPS.

New approaches to support vector ordinal regression

Wei Chu, S. Sathiya Keerthi, S. Keerthi, 2005, ICML.

Bayesian Inference in Trigonometric Support Vector Classifier

Wei Chu, C. Ong, 2002 .

Model Selection: An Empirical Study on Two Kernel Classifiers

Wei Chu, Wei Chu, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.