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» Learning and Inference with Constraints
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IADIS
2003
15 years 7 months ago
Pandora Case Tool: Triggers Generating for Cardinality Constraints in RDBMS
The cardinality constraint is one of the most important constraints that can be established in a conceptual model. Nevertheless, not all CASE tools for developing database support...
Harith T. Al-Jumaily, Dolores Cuadra, Paloma Mart&...
KI
2009
Springer
16 years 1 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
AAAI
1994
15 years 7 months ago
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
New approaches to solving constraint satisfaction problems using iterative improvement techniques have been found to be successful on certain, very large problems such as the mill...
Andrew J. Davenport, Edward P. K. Tsang, Chang J. ...
ICPR
2006
IEEE
16 years 7 months ago
Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning
Typical gene expression clustering algorithms are restricted to a specific underlying pattern model while overlooking the possibility that other information carrying patterns may ...
Rave Harpaz, Robert M. Haralick
NIPS
2004
15 years 7 months ago
Semi-supervised Learning on Directed Graphs
Given a directed graph in which some of the nodes are labeled, we investigate the question of how to exploit the link structure of the graph to infer the labels of the remaining u...
Dengyong Zhou, Bernhard Schölkopf, Thomas Hof...