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ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 9 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
COMPLEXITY
2010
108views more  COMPLEXITY 2010»
13 years 7 months ago
How to make dull cellular automata complex by adding memory: Rule 126 case study
Using Rule 126 elementary cellular automaton (ECA) we demonstrate that a chaotic discrete system -- when enriched with memory
Genaro Juárez Martínez, Andrew Adama...
ENTCS
2008
65views more  ENTCS 2008»
13 years 10 months ago
Rules and Strategies in Java
In this paper we present the essential feature we have considered when designing a new language based on rules and strategies. Relying on the implementation of Tom, we explain how...
Pierre-Etienne Moreau, Antoine Reilles
FUZZIEEE
2007
IEEE
14 years 4 months ago
An On-Line Fuzzy Predictor from Real-Time Data
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
Chih-Ching Hsiao, Shun-Feng Su
CISS
2008
IEEE
14 years 4 months ago
Distributed detection in the presence of frequency offset and phase shift
— In this paper, we study the problem of distributed detection in the presence of unknown carrier frequency offset (CFO) and initial phase, the issue we encounter in the emerging...
Tao Wu, Qi Cheng