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» Learning Compositional Categorization Models
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ICML
2010
IEEE
13 years 5 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
ICDAR
2009
IEEE
13 years 2 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
ICML
1996
IEEE
14 years 5 months ago
Applying the Multiple Cause Mixture Model to Text Categorization
Mehran Sahami, Marti A. Hearst, Eric Saund
AMAST
1998
Springer
13 years 9 months ago
An Algebraic View of Program Composition
Abstract. We propose a general categorical setting for modeling program composition in which the call-by-value and call-by-name disciplines fit as special cases. Other notions of c...
Pietro Cenciarelli
SIGECOM
2000
ACM
155views ECommerce» more  SIGECOM 2000»
13 years 9 months ago
Competitive bundling of categorized information goods
We introduce an information bundling model that addresses two important but relatively unstudied issues in real markets for information goods: automated customization of content b...
Jeffrey O. Kephart, Scott A. Fay