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ECAI
2008
Springer
14 years 11 months ago
Structure Learning of Markov Logic Networks through Iterated Local Search
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
Marenglen Biba, Stefano Ferilli, Floriana Esposito
ECAI
2008
Springer
14 years 11 months ago
Incremental Diagnosis of DES by Satisfiability
Abstract. We propose a SAT-based algorithm for incremental diagnosis of discrete-event systems. The monotonicity is ensured by a prediction window that uses the future observations...
Alban Grastien, Anbulagan
ECAI
2008
Springer
14 years 11 months ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
ECAI
2008
Springer
14 years 11 months ago
Reinforcement Learning with the Use of Costly Features
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
Robby Goetschalckx, Scott Sanner, Kurt Driessens
ECAI
2008
Springer
14 years 11 months ago
A probabilistic trust model for semantic peer-to-peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...