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» Machine Learning by Function Decomposition
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COLT
2007
Springer
15 years 7 months ago
Bounded Parameter Markov Decision Processes with Average Reward Criterion
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
Ambuj Tewari, Peter L. Bartlett
93
Voted
ECML
2007
Springer
15 years 7 months ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer
ECML
2007
Springer
15 years 7 months ago
Conceptual Clustering Applied to Ontologies
Abstract. A clustering method is presented which can be applied to semantically annotated resources in the context of ontological knowledge bases. This method can be used to discov...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
IWCLS
2007
Springer
15 years 7 months ago
A Principled Foundation for LCS
In this paper we explicitly identify the probabilistic model underlying LCS by linking it to a generalisation of the common Mixture-of-Experts model. Having an explicit representa...
Jan Drugowitsch, Alwyn Barry
ICALT
2006
IEEE
15 years 7 months ago
Implementation of a Personalized Assessment Web Service
This paper describes the design, development and qualitative evaluation of a web-based personalized assessment service of an object–oriented programming course at the University...
Lilia Cheniti-Belcadhi, Nicola Henze, Rafik Braham