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» Algorithm Selection via Ranking
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CIKM
2000
Springer
14 years 1 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
14 years 21 days ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 10 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
WWW
2005
ACM
14 years 9 months ago
TotalRank: ranking without damping
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...
Paolo Boldi
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 6 months ago
On the Impact of Mutation-Selection Balance on the Runtime of Evolutionary Algorithms
The interplay between the mutation operator and the selection mechanism plays a fundamental role in the behaviour of evolutionary algorithms (EAs). However, this interplay is stil...
Per Kristian Lehre, Xin Yao