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» The Learning Power of Evolution
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EC
2006
195views ECommerce» more  EC 2006»
14 years 10 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
PAMI
2000
142views more  PAMI 2000»
14 years 9 months ago
Evolutionary Pursuit and Its Application to Face Recognition
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
Chengjun Liu, Harry Wechsler
FOCS
2010
IEEE
14 years 8 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
CORR
2011
Springer
192views Education» more  CORR 2011»
14 years 5 months ago
Distribution-Independent Evolvability of Linear Threshold Functions
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
Vitaly Feldman
ICES
2001
Springer
107views Hardware» more  ICES 2001»
15 years 2 months ago
Polymorphic Electronics
This paper introduces the concept of polymorphic electronics (polytronics) –referring to electronics with superimposed built-in functionality. A function change does not require ...
Adrian Stoica, Ricardo Salem Zebulum, Didier Keyme...