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» Relational Knowledge with Predictive State Representations
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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
13 years 12 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ISMIS
2003
Springer
13 years 10 months ago
A Formal Approach to Describing Action Concepts in Taxonomical Knowledge Bases
T his paper outlines a formal theory for de fining action concepts in taxonomical knowledge representation languages, in a form closely related to description logics. The central p...
Christel Kemke
BMCBI
2011
12 years 9 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...
JOCN
2010
99views more  JOCN 2010»
13 years 3 months ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
LAMAS
2005
Springer
13 years 10 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...