574 search results - page 36 / 115 » Maximum Margin Clustering |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
This paper deals with the problem of universal lossless coding on a countable infinite alphabet. It focuses on some classes of sources defined by an envelope condition on the margi...
BROADNETS
2004
IEEE
13 years 11 months ago
2004
IEEE
We present a fast local clustering service, FLOC, that partitions a multi-hop wireless network into nonoverlapping and approximately equal-sized clusters. Each cluster has a clust...
INFORMATICALT
2002
13 years 7 months ago
2002
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...