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KI
2007
Springer
16 years 23 days ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
EDO
2005
Springer
16 years 4 days ago
A middleware-independent model and language for component distribution
A distribution model for the new generation of component languages, which allows to plug required into provided interfaces, is presented together with the distributed component la...
Hans Albrecht Schmid, Marco Pfeifer, Thorsten Schn...
JUCS
2008
105views more  JUCS 2008»
15 years 6 months ago
ITS Domain Modelling with Ontology
: Authoring ITS domain models is a difficult task requiring many skills. We explored whether modeling ontology reduces the problem by giving the students of an e-learning summer sc...
Brent Martin, Antonija Mitrovic, Pramuditha Surawe...
AAAI
2011
14 years 6 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ICCS
2004
Springer
16 years 4 hour ago
Point-Based Modeling from a Single Image
Abstract. The complexity of virtual environments has grown spectacularly over the recent years, mainly thanks to the use of the currently cheap high performance graphics cards. As ...
Pere-Pau Vázquez, Jordi Marco, Mateu Sbert