19 search results - page 2 / 4 » Minimum Conditional Entropy Clustering: A Discriminative Fra... |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
NIPS
2004
13 years 6 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper considers linear precoding for time-varying multipleinput multiple-output (MIMO) channels. We show that linear minimum mean-squared error (LMMSE) equalization based on ...