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GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 5 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
ALT
2011
Springer
14 years 1 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
IADIS
2004
15 years 2 months ago
Group-Oriented Learning and Active Student Participation in Electronic Learning Environments
The e-learning project GOLEM introduces a group and role-oriented concept to the course "Man-Machine Interfaces" at the University of Technology in Hamburg, Germany. Stu...
Martin Vogel, Lothar Kreft
FOCI
2007
IEEE
15 years 7 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
COLT
2004
Springer
15 years 5 months ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont