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» On Aggregating Teams of Learning Machines
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ICPR
2008
IEEE
14 years 2 months ago
Spam filtering with several novel bayesian classifiers
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
Chuanliang Chen, Yingjie Tian, Chunhua Zhang
CISSE
2008
Springer
13 years 9 months ago
Sentiment Mining Using Ensemble Classification Models
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
Matthew Whitehead, Larry Yaeger
CORR
2011
Springer
208views Education» more  CORR 2011»
13 years 2 months ago
GRASP and path-relinking for Coalition Structure Generation
In Artificial Intelligence with Coalition Structure Generation (CSG) one refers to those cooperative complex problems that require to find an optimal partition, maximising a soci...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
ACSAC
2005
IEEE
14 years 1 months ago
Generating Policies for Defense in Depth
Coordinating multiple overlapping defense mechat differing levels of abstraction, is fraught with the potential for misconfiguration, so there is strong motivation to generate p...
Paul Rubel, Michael Ihde, Steven Harp, Charles Pay...
GPEM
2008
128views more  GPEM 2008»
13 years 8 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood