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» Learning and using relational theories
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ALS
2003
Springer
14 years 3 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
ICANN
2010
Springer
13 years 11 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
14 years 3 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 4 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
IJCAI
2003
13 years 11 months ago
Monte Carlo Theory as an Explanation of Bagging and Boosting
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
Roberto Esposito, Lorenza Saitta