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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 8 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
VTC
2006
IEEE
13 years 10 months ago
Feasible Link Statistics for Adaptive Ad Hoc Networks
— The dynamic nature of ad hoc networks advocates the use of adaptive schemes to optimize network performance. Such adaptive schemes require local observations of prevailing netw...
Senan J. Doyle, Timothy K. Forde, Linda Doyle
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 5 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ACG
2003
Springer
13 years 10 months ago
Evaluation Function Tuning via Ordinal Correlation
Heuristic search effectiveness depends directly upon the quality of heuristic evaluations of states in the search space. We show why ordinal correlation is relevant to heuristic se...
Dave Gomboc, T. Anthony Marsland, Michael Buro
ACL
2009
13 years 2 months ago
DEPEVAL(summ): Dependency-based Evaluation for Automatic Summaries
This paper presents DEPEVAL(summ), a dependency-based metric for automatic evaluation of summaries. Using a reranking parser and a Lexical-Functional Grammar (LFG) annotation, we ...
Karolina Owczarzak