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» Satisfiability-Based Algorithms for Boolean Optimization
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AI
1999
Springer
14 years 11 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
14 years 11 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 5 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 5 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 ...
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 4 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