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» On learning with dissimilarity functions
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COLT
1994
Springer
14 years 1 days ago
Fat-Shattering and the Learnability of Real-Valued Functions
Peter L. Bartlett, Philip M. Long, Robert C. Willi...
NIPS
1996
13 years 9 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
IUI
2012
ACM
12 years 3 months ago
Towards automatic functional test execution
As applications are developed, functional tests ensure they continue to function as expected. Nowadays, functional testing is mostly done manually, with human testers verifying a ...
Pablo Pedemonte, Jalal Mahmud, Tessa Lau
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 11 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
ESANN
2008
13 years 9 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina