163 search results - page 13 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
ROMAN
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— This paper describes a novel algorithm for autonomous and incremental learning of motion pattern primitives by observation of human motion. Human motion patterns are ed...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...