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IJCAI
2001
13 years 10 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
LICS
2007
IEEE
14 years 3 months ago
Limits of Multi-Discounted Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Hugo Gimbert, Wieslaw Zielonka
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 5 months ago
Complexity of Homogeneous Co-Boolean Constraint Satisfaction Problems
Constraint Satisfaction Problems (CSP) constitute a convenient way to capture many combinatorial problems. The general CSP is known to be NP-complete, but its complexity depends on...
Florian Richoux
ICLP
1997
Springer
14 years 1 months ago
Hybrid Probabilistic Programs
Hybrid Probabilistic Programs (HPPs) are logic programs that allow the programmer to explicitly encode his knowledge of the dependencies between events being described in the prog...
Alex Dekhtyar, V. S. Subrahmanian
DAGSTUHL
2006
13 years 10 months ago
A Proposal to add Interval Arithmetic to the C++ Standard Library
Proposed text to specify an interval class in the C++ standard library, with justification and background. Contents I Motivation and Scope 3 II Foundations 3 IIIImpact on the Stan...
Sylvain Pion, Hervé Brönnimann, Guilla...