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EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish
LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 10 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
SIAMDM
2002
124views more  SIAMDM 2002»
15 years 3 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella
EC
2006
121views ECommerce» more  EC 2006»
15 years 4 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
IADIS
2004
15 years 5 months ago
High School Students and the Digital Age
The computer revolution and Internet expansion in parallel with multimedia advancement have radically changed the way that knowledge is disseminated. All over the world researches...
Paraskevi Mentzelou, Tanya Kyriakidou, Veronica Sa...