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» Learning Abstraction Hierarchies for Problem Solving
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HAIS
2009
Springer
14 years 1 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
ECML
2004
Springer
14 years 2 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
ANOR
2010
85views more  ANOR 2010»
13 years 8 months ago
Inventory management with partially observed nonstationary demand
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
Erhan Bayraktar, Michael Ludkovski
DATESO
2010
148views Database» more  DATESO 2010»
13 years 6 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
ESWS
2009
Springer
14 years 3 months ago
The Relevance of Reasoning and Alignment Incoherence in Ontology Matching
Abstract. Ontology matching has become an important field of research over the last years. Although many different approaches have been proposed, only few of them are committed t...
Christian Meilicke