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PLILP
1993
Springer
14 years 1 months ago
Higher-Order Chaotic Iteration Sequences
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...
Mads Rosendahl
AAAI
2008
13 years 11 months ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos
AISC
2008
Springer
13 years 11 months ago
Search Techniques for Rational Polynomial Orders
Polynomial interpretations are a standard technique used in almost all tools for proving termination of term rewrite systems (TRSs) automatically. Traditionally, one applies interp...
Carsten Fuhs, Rafael Navarro-Marset, Carsten Otto,...
AAAI
2006
13 years 10 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
FLAIRS
2006
13 years 10 months ago
Some Second Order Effects on Interval Based Probabilities
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
David Sundgren, Mats Danielson, Love Ekenberg