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UAI
1998
14 years 11 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
WSC
2000
14 years 11 months ago
Simphony: an integrated environment for construction simulation
This paper discusses Simphony as an integrated environment for building special purpose simulation tools for modeling construction systems. Simphony provides various services that...
Simaan M. AbouRizk, Yasser Mohamed
AAAI
1994
14 years 11 months ago
A Qualitative Physics Compiler
Predicting the behavior of physical systems is essential to both common sense and engineering tasks. It is made especially challenging by the lack of complete precise knowledge of...
Adam Farquhar
AAAI
1994
14 years 11 months ago
Formalizing Ontological Commitment
Formalizing the ontological commitment of a logical language means offering a way to specify the intended meaning of its vocabulary by constraining the set of its models, giving e...
Nicola Guarino, Massimiliano Carrara, Pierdaniele ...
AAAI
1996
14 years 11 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon