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» Efficient Reinforcement Learning
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FC
2009
Springer
67views Cryptology» more  FC 2009»
15 years 10 months ago
Privacy-Preserving Classifier Learning
We present an efficient protocol for the privacy-preserving, distributed learning of decision-tree classifiers. Our protocol allows a user to construct a classifier on a database h...
Justin Brickell, Vitaly Shmatikov
ICML
2006
IEEE
16 years 7 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
ECML
2006
Springer
15 years 10 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
ICALT
2005
IEEE
16 years 6 days ago
Application of Instant Message System in Cooperative Learning
The popularity of instant messaging (IM) system creates a new way for human communication. Along with this trend, IM system is broadly applied in cooperative learning. There isnâ€...
Shih-chen Hsieh, Yu-chen Hsu
PR
2006
76views more  PR 2006»
15 years 6 months ago
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Dit-Yan Yeung, Hong Chang