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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 4 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
JUCS
2007
97views more  JUCS 2007»
15 years 6 months ago
A Framework for the Conceptualization of Approaches to "Create-by-Reuse" of Learning Design Solutions
: IMS Learning Design (IMS LD) is an interoperable and standardized language that enables the computational representation of Units of Learning (UoLs). However, its adoption and ex...
Davinia Hernández Leo, Andreas Harrer, Juan...
KELSI
2004
Springer
15 years 11 months ago
Multiple-Instance Case-Based Learning for Predictive Toxicology
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
Eva Armengol, Enric Plaza
ICCBR
2003
Springer
15 years 11 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
ERCIMDL
2003
Springer
165views Education» more  ERCIMDL 2003»
15 years 11 months ago
Automatic Multi-label Subject Indexing in a Multilingual Environment
Abstract. This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines (SVM). The aim was to test ...
Boris Lauser, Andreas Hotho