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115
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PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 9 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
VLDB
1991
ACM
132views Database» more  VLDB 1991»
15 years 7 months ago
Fido: A Cache That Learns to Fetch
This paper describesFido, a predictive cache [Palmer 19901that prefetchesby employing an associativememoryto recognizeaccesspatterns within a context over time. Repeatedtraining a...
Mark Palmer, Stanley B. Zdonik
122
Voted
EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
15 years 4 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 9 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
132
Voted
EC
2006
121views ECommerce» more  EC 2006»
15 years 3 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