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ML
2006
ACM
122views Machine Learning» more  ML 2006»
14 years 9 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
LPNMR
2009
Springer
15 years 4 months ago
A Deductive System for FO(ID) Based on Least Fixpoint Logic
Abstract. The logic FO(ID) uses ideas from the field of logic programming to extend first order logic with non-monotone inductive definitions. The goal of this paper is to exten...
Ping Hou, Marc Denecker
IJAR
2008
106views more  IJAR 2008»
14 years 9 months ago
Probabilistic logic with independence
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jo...
ICML
2010
IEEE
14 years 10 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein
PLILP
1998
Springer
15 years 1 months ago
Logic Programming and Model Checking
We report on the current status of the LMC project, which seeks to deploy the latest developments in logic-programming technology to advance the state of the art of system speci ca...
Baoqiu Cui, Yifei Dong, Xiaoqun Du, K. Narayan Kum...