574 search results - page 21 / 115 » Maximum Margin Clustering |
RECOMB
2003
Springer
14 years 8 months ago
2003
Springer
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
NIPS
2008
13 years 9 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In this contribution, models of wireless channels are derived from the maximum entropy principle, for several cases where only limited information about the propagation environmen...
ICPR
2010
IEEE
14 years 17 days ago
2010
IEEE
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
FQAS
2004
Springer
14 years 1 months ago
2004
Springer
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...