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» On learning with dissimilarity functions
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PLDI
2010
ACM
15 years 2 months ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 2 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
WABI
2001
Springer
142views Bioinformatics» more  WABI 2001»
15 years 2 months ago
Pattern Matching and Pattern Discovery Algorithms for Protein Topologies
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Juris Viksna, David Gilbert
ER
2007
Springer
146views Database» more  ER 2007»
15 years 1 months ago
Achieving, Satisficing, and Excelling
Abstract. Definitions of the concepts derived from the goal concept (including functional and nonfunctional goal, hardgoal, and softgoal) used in requirements engineering are discu...
Ivan Jureta, Stéphane Faulkner, Pierre-Yves...
SIGIR
2010
ACM
15 years 1 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...