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ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
ICML
2005
IEEE
14 years 8 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
ECML
2006
Springer
13 years 11 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
FLAIRS
2004
13 years 9 months ago
Cautious Cooperative Learning with Distributed Case-Based Reasoning
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
Leen-Kiat Soh
ACL
2009
13 years 5 months ago
Bayesian Learning of a Tree Substitution Grammar
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we le...
Matt Post, Daniel Gildea