163 search results - page 11 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
IJCAI
1989
13 years 8 months ago
1989
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
ICTAI
2010
IEEE
13 years 4 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
ICDM
2003
IEEE
14 years 23 days ago
2003
IEEE
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
PAMI
2008
13 years 7 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...