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» Feature Generation Using General Constructor Functions
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ALT
1999
Springer
14 years 3 days ago
PAC Learning with Nasty Noise
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Nader H. Bshouty, Nadav Eiron, Eyal Kushilevitz
SIGIR
1996
ACM
13 years 12 months ago
Performance Evaluation of a Distributed Architecture for Information Retrieval
Information explosion across the Internet and elsewhere offers access to an increasing number of document collections. In order for users to e ectively access these collections, i...
Brendon Cahoon, Kathryn S. McKinley
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 8 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
IEEEPACT
2002
IEEE
14 years 23 days ago
Optimizing Loop Performance for Clustered VLIW Architectures
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
Yi Qian, Steve Carr, Philip H. Sweany
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
Development and implementation of an algorithm for detection of protein complexes in large interaction networks
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
Md. Altaf-Ul-Amin, Yoko Shinbo, Kenji Mihara, Ken ...