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» On learning with dissimilarity functions
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 8 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
133
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ICA
2007
Springer
16 years 8 days ago
Perception of Transformation-Invariance in the Visual Pathway
Abstract. Visual perception of transformation invariance, such as translation, rotation and scaling, is one of the important functions of processing visual information in the Brain...
Wenlu Yang, Liqing Zhang, Libo Ma
MFCS
2007
Springer
16 years 7 days ago
Evolvability
A framework for analyzing the computational capabilities and the limitations of the evolutionary process of random change guided by selection was recently introduced by Valiant [V...
Leslie G. Valiant
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
16 years 4 days ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
FC
2005
Springer
120views Cryptology» more  FC 2005»
15 years 11 months ago
Achieving Fairness in Private Contract Negotiation
Abstract. Suppose Alice and Bob are two entities (e.g. agents, organizations, etc.) that wish to negotiate a contract. A contract consists of several clauses, and each party has ce...
Keith B. Frikken, Mikhail J. Atallah