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» A Least-Certainty Heuristic for Selective Search
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JMLR
2006
145views more  JMLR 2006»
13 years 9 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
EVOW
2005
Springer
14 years 2 months ago
Choosing the Fittest Subset of Low Level Heuristics in a Hyperheuristic Framework
A hyperheuristic is a high level procedure which searches over a space of low level heuristics rather than directly over the space of problem solutions. The sequence of low level h...
Konstantin Chakhlevitch, Peter I. Cowling
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 22 days ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
EVOW
2007
Springer
14 years 3 months ago
Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling
In this paper we study a complex real-world workforce scheduling problem. We propose a method of splitting the problem into smaller parts and solving each part using exhaustive sea...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
ICCBR
2007
Springer
14 years 3 months ago
Using Cases Utility for Heuristic Planning Improvement
Current efficient planners employ an informed search guided by a heuristic function that is quite expensive to compute. Thus, ordering nodes in the search tree becomes a key issue,...
Tomás de la Rosa, Angel García Olaya...