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CIKM
1997
Springer
14 years 1 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
13 years 7 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
AC
2003
Springer
14 years 2 months ago
Introduction to Statistical Learning Theory
Olivier Bousquet, Stéphane Boucheron, G&aac...