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» A statistical approach to rule learning
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JCM
2006
118views more  JCM 2006»
15 years 6 months ago
Joint Optimization of Local and Fusion Rules in a Decentralized Sensor Network
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
Nithya Gnanapandithan, Balasubramaniam Natarajan
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 1 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
15 years 11 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka
AUSAI
2007
Springer
15 years 10 months ago
Branching Rules for Satisfiability Analysed with Factor Analysis
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...
Richard J. Wallace, Stuart Bain
ACL
2009
15 years 4 months ago
Predicting Unknown Time Arguments based on Cross-Event Propagation
Many events in news articles don't include time arguments. This paper describes two methods, one based on rules and the other based on statistical learning, to predict the un...
Prashant Gupta, Heng Ji