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» A Theory of Inferred Causation
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AI
2008
Springer
14 years 10 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
COLT
1999
Springer
15 years 4 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
CADE
2007
Springer
16 years 5 days ago
Hyper Tableaux with Equality
Abstract. In most theorem proving applications, a proper treatment of equational theories or equality is mandatory. In this paper we show how to integrate a modern treatment of equ...
Björn Pelzer, Peter Baumgartner, Ulrich Furba...
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
15 years 8 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
RULEML
2005
Springer
15 years 5 months ago
Nested Rules in Defeasible Logic
Defeasible Logic is a rule-based non-monotonic logic with tractable reasoning services. In this paper we extend Defeasible Logic with nested rules. We consider a new Defeasible Log...
Insu Song, Guido Governatori