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» Using Classifiers to Solve Warehouse Location Problems
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ICDAR
2009
IEEE
14 years 7 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
DAWAK
2006
Springer
15 years 1 months ago
A Versioning Management Model for Ontology-Based Data Warehouses
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
CPAIOR
2006
Springer
15 years 1 months ago
AND/OR Branch-and-Bound Search for Pure 0/1 Integer Linear Programming Problems
Abstract. AND/OR search spaces have recently been introduced as a unifying paradigm for advanced algorithmic schemes for graphical models. The main virtue of this representation is...
Radu Marinescu 0002, Rina Dechter
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
14 years 11 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
ECAI
2010
Springer
14 years 11 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...