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» Evaluation Function Tuning via Ordinal Correlation
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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
ICMCS
2008
IEEE
145views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Video search reranking via online ordinal reranking
To exploit co-occurrence patterns among features and target semantics while keeping the simplicity of the keywordbased visual search, a novel reranking methods is proposed. The ap...
Yi-Hsuan Yang, Winston H. Hsu
AUTOMATICA
2007
113views more  AUTOMATICA 2007»
13 years 5 months ago
Correlation-based tuning of decoupling multivariable controllers
The iterative method labelled Correlation-based Tuning (CbT) is considered in this paper for tuning linear time-invariant multivariable controllers. The approach allows one to tun...
Ljubisa Miskovic, Alireza Karimi, Dominique Bonvin...
BMCBI
2007
148views more  BMCBI 2007»
13 years 5 months ago
Evaluation of gene-expression clustering via mutual information distance measure
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Ido Priness, Oded Maimon, Irad E. Ben-Gal
CSDA
2007
136views more  CSDA 2007»
13 years 4 months ago
A note on iterative marginal optimization: a simple algorithm for maximum rank correlation estimation
The maximum rank correlation (MRC) estimator was originally studied by Han [1987. Nonparametric analysis of a generalized regression model. J. Econometrics 35, 303–316] and Sher...
Hansheng Wang