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» Modularity and the Rule of Adaptation
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140
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ATAL
2009
Springer
15 years 10 months ago
Adaptive price update in distributed Lagrangian relaxation protocol
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yoko...
170
Voted
EUROSSC
2009
Springer
15 years 10 months ago
Semantic Rules for Context-Aware Geographical Information Retrieval
Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, seman...
Carsten Keßler, Martin Raubal, Christoph Wos...
248
Voted
ROCAI
2004
Springer
15 years 9 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
145
Voted
IDA
2006
Springer
15 years 3 months ago
Backward chaining rule induction
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
Douglas H. Fisher, Mary E. Edgerton, Zhihua Chen, ...
145
Voted
JAIR
2007
132views more  JAIR 2007»
15 years 3 months ago
New Inference Rules for Max-SAT
Exact Max-SAT solvers, compared with SAT solvers, apply little inference at each node of the proof tree. Commonly used SAT inference rules like unit propagation produce a simpli...
Chu Min Li, Felip Manyà, Jordi Planes