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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 9 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
109
Voted
ITICSE
2010
ACM
15 years 7 months ago
Experience report: CS1 for majors with media computation
Previous reports of a media computation approach to teaching programming have either focused on pre-CS1 courses or courses for non-majors. We report the adoption of a media comput...
Beth Simon, Päivi Kinnunen, Leo Porter, Dov Z...
AIPS
2006
15 years 4 months ago
On the Use of UML.P for Modeling a Real Application as a Planning Problem
There is a great interest in the planning community to apply all developments already achieved in the area to real applications. Such scenario makes the community focus on Knowled...
Tiago Stegun Vaquero, Flavio Tonidandel, Leliane N...
ECAI
2000
Springer
15 years 7 months ago
Towards Real-Time Search with Inadmissible Heuristics
Real-time search has two aspects, one as an efficient search method (in a single problem solving trial), and the other as an overall problem solving architecture with learning abi...
Masashi Shimbo, Toru Ishida
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 10 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke