68 search results - page 1 / 14 » Classification with Incomplete Data Using Dirichlet Process ... |
JMLR
2010
13 years 5 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
PAMI
2010
13 years 9 months ago
2010
KDD
2007
ACM
14 years 11 months ago
2007
ACM
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
AAAI
2010
14 years 10 days ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
ISIPTA
2005
IEEE
14 years 4 months ago
2005
IEEE
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...