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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 8 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
POPL
2002
ACM
16 years 4 months ago
An efficient profile-analysis framework for data-layout optimizations
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...
Rastislav Bodík, Shai Rubin, Trishul M. Chi...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 10 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
SAINT
2005
IEEE
15 years 10 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICIP
1994
IEEE
16 years 5 months ago
Document Image Decoding
It has been shown that the computation time of Document Image Decoding can be significantly reduced by employing heuristics in the search for the best decoding of a text line. In ...
Gary E. Kopec, Philip A. Chou