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ICML
1996
IEEE
14 years 7 days ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
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
ICML
2008
IEEE
14 years 9 months ago
Inverting the Viterbi algorithm: an abstract framework for structure design
act Framework For Structure Design Michael Schnall-Levin Massachusetts Institute of Technology Joint work with: Leonid Chindelevitch and Bonnie Berger
Michael Schnall-Levin, Leonid Chindelevitch, Bonni...
IJCAI
2001
13 years 9 months ago
Refining the Structure of a Stochastic Context-Free Grammar
We present a machine learning algorithm for refining the structure of a stochastic context
Joseph Bockhorst, Mark Craven
ICML
2006
IEEE
14 years 9 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