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» Learning Rules and Their Exceptions
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ECML
2007
Springer
16 years 11 days ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
IAT
2005
IEEE
15 years 11 months ago
Trust Model for Open Ubiquitous Agent Systems
Trust management model that we present is adapted for ubiquitous devices cooperation, rather than for classic client-supplier relationship. We use fuzzy numbers to represent trust...
Martin Rehák, Lukás Foltýn, M...
ATAL
2005
Springer
15 years 11 months ago
Fuzzy number approach to trust in coalition environment
General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in ...
Martin Rehák, Michal Pechoucek, Petr Benda
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 11 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
BIOADIT
2006
Springer
15 years 10 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner