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CIKM
1997
Springer
15 years 10 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
15 years 7 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»
15 years 6 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
15 years 6 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
16 years 7 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