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» Perceptual Learning and Abstraction in Machine Learning
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ICML
2002
IEEE
14 years 9 months ago
Discovering Hierarchy in Reinforcement Learning with HEXQ
An open problem in reinforcement learning is discovering hierarchical structure. HEXQ, an algorithm which automatically attempts to decompose and solve a model-free factored MDP h...
Bernhard Hengst
ICALT
2006
IEEE
14 years 2 months ago
Model-Driven Instructional Engineering to Generate Adaptable Learning Materials
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
Juan Manuel Dodero, David Díez
ICCBR
2005
Springer
14 years 2 months ago
Learning Semantic Annotations for Textual Cases
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
IEAAIE
2010
Springer
13 years 6 months ago
A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...
Thomas Stibor
ICANN
2001
Springer
14 years 1 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc