2009 |
27 | EE | Wei Chu,
Seung-Taek Park:
Personalized recommendation on dynamic content using predictive bilinear models.
WWW 2009: 691-700 |
2008 |
26 | EE | Wei Chu,
B. Champagne:
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification.
IEEE Transactions on Audio, Speech & Language Processing 16(1): 137-150 (2008) |
2007 |
25 | EE | Pannagadatta K. Shivaswamy,
Wei Chu,
Martin Jansche:
A Support Vector Approach to Censored Targets.
ICDM 2007: 655-660 |
24 | EE | Wei Chu,
Benoît Champagne:
An Improved Implementation for an Auditory-Inspired FFT Model with Application in Audio Classification.
ICME 2007: 196-199 |
23 | EE | Vikas Sindhwani,
Wei Chu,
S. Sathiya Keerthi:
Semi-Supervised Gaussian Process Classifiers.
IJCAI 2007: 1059-1064 |
22 | EE | Kai Yu,
Wei Chu:
Gaussian Process Models for Link Analysis and Transfer Learning.
NIPS 2007 |
21 | EE | Ricardo Silva,
Wei Chu,
Zoubin Ghahramani:
Hidden Common Cause Relations in Relational Learning.
NIPS 2007 |
20 | EE | Wei Chu,
S. Sathiya Keerthi:
Support Vector Ordinal Regression.
Neural Computation 19(3): 792-815 (2007) |
2006 |
19 | EE | Wei Chu,
Benoît Champagne:
A Simplified Early Auditory Model with Application in Speech/Music Classification.
CCECE 2006: 775-778 |
18 | EE | Shirish Krishnaj Shevade,
Wei Chu:
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression.
ICDM 2006: 1054-1058 |
17 | EE | Wei Chu:
Model Selection: An Empirical Study on Two Kernel Classifiers.
IJCNN 2006: 1673-1679 |
16 | EE | Kai Yu,
Wei Chu,
Shipeng Yu,
Volker Tresp,
Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction.
NIPS 2006: 1553-1560 |
15 | EE | Wei Chu,
Vikas Sindhwani,
Zoubin Ghahramani,
S. Sathiya Keerthi:
Relational Learning with Gaussian Processes.
NIPS 2006: 289-296 |
14 | EE | Wei Chu,
Zoubin Ghahramani,
Roland Krause,
David L. Wild:
Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model.
Pacific Symposium on Biocomputing 2006: 231-242 |
13 | EE | Wei Chu,
Xi Xiao,
Jia Liu:
Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection.
SSPR/SPR 2006: 723-731 |
12 | EE | Wei Chu,
Zoubin Ghahramani,
Alexei Podtelezhnikov,
David L. Wild:
Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform. 3(2): 98-113 (2006) |
2005 |
11 | EE | Wei Chu,
Zoubin Ghahramani:
Preference learning with Gaussian processes.
ICML 2005: 137-144 |
10 | EE | Wei Chu,
S. Sathiya Keerthi:
New approaches to support vector ordinal regression.
ICML 2005: 145-152 |
9 | EE | S. Sathiya Keerthi,
Wei Chu:
A matching pursuit approach to sparse Gaussian process regression.
NIPS 2005 |
8 | EE | Wei Chu,
Zoubin Ghahramani,
Francesco Falciani,
David L. Wild:
Biomarker discovery in microarray gene expression data with Gaussian processes.
Bioinformatics 21(16): 3385-3393 (2005) |
7 | EE | Wei Chu,
Zoubin Ghahramani:
Gaussian Processes for Ordinal Regression.
Journal of Machine Learning Research 6: 1019-1041 (2005) |
2004 |
6 | EE | Wei Chu,
Zoubin Ghahramani,
David L. Wild:
Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models.
ESANN 2004: 81-86 |
5 | EE | Wei Chu,
Zoubin Ghahramani,
David L. Wild:
A graphical model for protein secondary structure prediction.
ICML 2004 |
2003 |
4 | EE | Kaibo Duan,
S. Sathiya Keerthi,
Wei Chu,
Shirish Krishnaj Shevade,
Aun Neow Poo:
Multi-category Classification by Soft-Max Combination of Binary Classifiers.
Multiple Classifier Systems 2003: 125-134 |
3 | EE | Wei Chu,
S. Sathiya Keerthi,
Chong Jin Ong:
Bayesian Trigonometric Support Vector Classifier.
Neural Computation 15(9): 2227-225 (2003) |
2002 |
2 | EE | S. Sathiya Keerthi,
Chong Jin Ong,
Keng Boon Siah,
David B. L. Lim,
Wei Chu,
Min Shi,
David S. Edwin,
Rakesh Menon,
Lixiang Shen,
Jonathan Y. K. Lim,
Han Tong Loh:
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).
SIGKDD Explorations 4(2): 93-94 (2002) |
2001 |
1 | | Wei Chu,
S. Sathiya Keerthi,
Chong Jin Ong:
A Unified Loss Function in Bayesian Framework for Support Vector Regression.
ICML 2001: 51-58 |