359 search results - page 34 / 72 » A Constrained Semi-supervised Learning Approach to Data Asso... |
RCIS
2010
13 years 6 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
ML
2010
ACM
13 years 2 months ago
2010
ACM
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
NIPS
2008
13 years 9 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...