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NIPS
2001
13 years 11 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 1 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
FOCM
2007
76views more  FOCM 2007»
13 years 9 months ago
Risk Bounds for Random Regression Graphs
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
Andrea Caponnetto, Steve Smale
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 11 months ago
Biomedical Hypothesis Generation and Testing by Evolutionary Computation
- Filtering the immense amount of data available electronically over the World Wide Web is an important task of search engines in data mining applications. Users when performing se...
Robert Kozma, Anna L. Buczak
TR
2011
172views more  TR 2011»
13 years 4 months ago
Multi-State Reliability Systems Under Discrete Time Semi-Markovian Hypothesis
We consider repairable reliability systems with m components, the lifetimes and repair times of which are independent. The l-th component can be either in the failure state 0 or i...
Ourania Chryssaphinou, Nikolaos Limnios, Sonia Mal...