1310 search results - page 12 / 262 » Learning the k in k-means |
177
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CIDM
2007
IEEE
16 years 12 days ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
204
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JCIT
2010
15 years 25 days ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
187
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AAAI
2004
15 years 7 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
125
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ECSQARU
2001
Springer
15 years 10 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
171
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PERCOM
2009
ACM
16 years 26 days ago
2009
ACM
To benefit from a location-based service, a person must reveal her location to the service. However, knowing the person’s location might allow the service to re-identify the pe...