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ICML
2004
IEEE
14 years 11 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
ATAL
2009
Springer
14 years 4 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
PAMI
2006
114views more  PAMI 2006»
13 years 10 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
ICML
2009
IEEE
14 years 11 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
DIGITEL
2008
IEEE
14 years 4 months ago
Using Posting Templates for Enhancing Students' Argumentative Elaborations in Learning Villages
Learning Villages (LV) is a game-based computersupported collaborative learning (CSCL) platform, which facilitates students’ issue-based discussion in a massively multiplayer ga...
Morris Siu Yung Jong, Alex W. C. Tse, Yuxia Zhou, ...