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KI
2007
Springer
14 years 3 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 9 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ICANN
2003
Springer
14 years 2 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
AI
2008
Springer
13 years 9 months ago
Modelling and solving temporal reasoning as propositional satisfiability
Representing and reasoning about time dependent information is a key research issue in many areas of computer science and artificial intelligence. One of the best known and widely...
Duc Nghia Pham, John Thornton, Abdul Sattar
SIGSOFT
2004
ACM
14 years 2 months ago
Automating comprehensive safety analysis of concurrent programs using verisoft and TXL
In run-time safety analysis the executions of a concurrent program are monitored and analyzed with respect to safety properties. Similar to testing, run-time analysis is quite e...
Jürgen Dingel, Hongzhi Liang