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» On Learning with Integral Operators
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TSMC
2002
156views more  TSMC 2002»
15 years 6 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
DIS
2006
Springer
15 years 10 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
HIS
2004
15 years 8 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICASSP
2011
IEEE
14 years 10 months ago
Joint dictionary learning and topic modeling for image clustering
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Cari...
ALS
2003
Springer
15 years 11 months ago
Towards a Four Factor Theory of Anticipatory Learning
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
Mark Witkowski