Sciweavers

61 search results - page 4 / 13
» Automated Learning of Probabilistic Assumptions for Composit...
Sort
View
ICML
2000
IEEE
14 years 7 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
LICS
2006
IEEE
14 years 13 days ago
Temporal Logics and Model Checking for Fairly Correct Systems
We motivate and study a generic relaxation of correctness of reactive and concurrent systems with respect to a temporal specification. We define a system to be fairly correct if...
Daniele Varacca, Hagen Völzer
ILP
2007
Springer
14 years 17 days ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
EWIMT
2004
13 years 7 months ago
Reasoning on the Web: Language Prototypes and Perspectives
Reasoning on the Web is gaining in importance because of emerging Web applications such as contextadaptive Web systems (e.g. eLearning, recommender, personalised (multi-)media, an...
Sacha Berger, François Bry, Bernhard Lorenz...
HIS
2003
13 years 7 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider