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CIKM
1997
Springer
14 years 2 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
NIPS
2004
13 years 11 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
TIT
2008
139views more  TIT 2008»
13 years 9 months ago
Asymptotic Optimality Theory for Decentralized Sequential Hypothesis Testing in Sensor Networks
The decentralized sequential hypothesis testing problem is studied in sensor networks, where a set of sensors receive independent observations and send summary messages to the fusi...
Yajun Mei
AI
2007
Springer
13 years 10 months ago
Metatheory of actions: Beyond consistency
Traditionally, consistency is the only criterion for the quality of a theory in logicbased approaches to reasoning about actions. This work goes beyond that and contributes to the...
Andreas Herzig, Ivan José Varzinczak
ICPR
2004
IEEE
14 years 11 months ago
Image Analysis Through Local Information Measures
The properties of local image statistics are analyzed in a classic information theoretic setting. Local spatiochromatic image elements are projected into a space in which constitu...
Neil Bruce