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AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
15 years 11 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund
PAMI
2008
161views more  PAMI 2008»
15 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
15 years 11 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
ECML
2006
Springer
15 years 10 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
TEC
2008
94views more  TEC 2008»
15 years 6 months ago
Measuring Generalization Performance in Coevolutionary Learning
Coevolutionary learning involves a training process where training samples are instances of solutions that interact strategically to guide the evolutionary (learning) process. One ...
Siang Yew Chong, Peter Tino, Xin Yao