1310 search results - page 12 / 262 » Learning the k in k-means |
CIDM
2007
IEEE
14 years 4 months 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...
JCIT
2010
13 years 4 months 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...
AAAI
2004
13 years 11 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...
ECSQARU
2001
Springer
14 years 2 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...
PERCOM
2009
ACM
14 years 4 months 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...