172 search results - page 21 / 35 » Learning Generative Models of Similarity Matrices |
COLT
2008
Springer
13 years 11 months ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
JCB
2002
13 years 9 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
IDEAL
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
SODA
2010
ACM
14 years 7 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...