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» A Minimum Relative Entropy Principle for Learning and Acting
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CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 5 months ago
Balanced distribution-energy inequalities and related entropy bounds
Let A be a self-adjoint operator acting over a space X endowed with a partition. We give lower bounds on the energy of a mixed state from its distribution in the partition and the...
Michel Rumin
JMLR
2010
211views more  JMLR 2010»
12 years 12 months ago
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering
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...
Bo Dai, Baogang Hu
ICPR
2004
IEEE
14 years 6 months ago
Fast Object and Pose Recognition Through Minimum Entropy Coding
We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimat...
Günter Westphal, Rolf P. Würtz
SIGIR
2005
ACM
13 years 10 months ago
On the collective classification of email "speech acts"
We consider classification of email messages as to whether or not they contain certain “email acts”, such as a request or a commitment. We show that exploiting the sequential ...
Vitor Rocha de Carvalho, William W. Cohen
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 5 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...