791 search results - page 109 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
IROS
2006
IEEE
14 years 2 months ago
2006
IEEE
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
AI
2010
Springer
13 years 8 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
IJON
2008
13 years 8 months ago
2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...