19 search results - page 1 / 4 » Minimum Conditional Entropy Clustering: A Discriminative Fra... |
JMLR
2010
12 years 11 months ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
CSB
2004
IEEE
13 years 8 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
AAAI
2012
11 years 7 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
INFOCOM
2005
IEEE
13 years 10 months ago
2005
IEEE
— In this paper, information theoretic techniques are used to derive analytic expressions for the minimum expected length of control messages exchanged by proactive routing in a ...