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131
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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 8 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
119
Voted
ECCV
2010
Springer
15 years 8 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
125
Voted
ICANN
2009
Springer
15 years 7 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
CP
2001
Springer
15 years 7 months ago
Collaborative Learning for Constraint Solving
Abstract. Although constraint programming offers a wealth of strong, generalpurpose methods, in practice a complex, real application demands a person who selects, combines, and ref...
Susan L. Epstein, Eugene C. Freuder
116
Voted
CSR
2006
Springer
15 years 6 months ago
Extended Resolution Proofs for Conjoining BDDs
We present a method to convert the construction of binary decision diagrams (BDDs) into extended resolution proofs. Besides in proof checking, proofs are fundamental to many applic...
Carsten Sinz, Armin Biere