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Neo-classical+metal

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  • C5 1 5 Bayesian Classi cation 1999
  • Bayesian classi cation addresses the classi cation problem by learning the distribution of instances given di erentclassvalues. We review the basic notion of Bayesian classi cation, describe in some d...
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  • Recognition Algorithms for the Loom Classi er
  • Most of today's terminological representation systems implement hybrid reasoning architectures wherein a concept classi er is employed to reason about concept de nitions, and a separate recognizer is ...
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  • Deletion Schemes for Classi er Systems A Technical Report
  • The issue of deletion schemes for classi er systems has received little attention. In a standard genetic algorithm achromosome can be evaluated (assigned a reasonable tness) immediately. In classi er ...
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  • A Mixed Classi 2000
  • In order to facilitate the user's access to a movie lm the scene structure should be constructed. A general framework for constructing scenes consists in clustering the shots into groups and then merg...
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  • Using a Description Classi er to Enhance Deductive Inference
  • The representation languages found in many expert system shells are hybrids composed ofaframe language and a rule language. Unfortunately, the frame and rule components in these systems are not well i...
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  • Learning Limited Dependence Bayesian Classi ers
  • We present a framework for characterizing Bayesian classi cation methods. This framework can be thought of as a spectrum of allowable dependence in a given probabilistic model with the Naive Bayes alg...
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  • Robust shape classi quot cation 1998
  • We consider the problem of classifying objects using their two dimensional silhouettes in environments generating large aberrant observations (outliers). These may be generated by failures in edge ext...
  • Rating:   1 Star      Views: (1018)     Pages: ()     Uploaded: 22-01-08
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