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» Satisfiability-Based Algorithms for Boolean Optimization
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AI
1999
Springer
15 years 1 months ago
Learning by Discovering Concept Hierarchies
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
Blaz Zupan, Marko Bohanec, Janez Demsar, Ivan Brat...
AI
2010
Springer
15 years 2 months ago
Optimal query complexity bounds for finding graphs
We consider the problem of finding an unknown graph by using two types of queries with an additive property. Given a graph, an additive query asks the number of edges in a set of ...
Sung-Soon Choi, Jeong Han Kim
ICDCSW
2006
IEEE
15 years 8 months ago
Dimension-Based Subscription Pruning for Publish/Subscribe Systems
Subscription pruning has been proven as valuable routing optimization for Boolean subscriptions in publish/subscribe systems. It aims at optimizing subscriptions independently of ...
Sven Bittner, Annika Hinze
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 7 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 7 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor