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LADS
2007
Springer
15 years 3 months ago
Probabilistic and Logical Beliefs
This paper proposes a method of integrating two different concepts of belief in artificial intelligence: belief as a probability distribution and belief as a logical formula. The...
John W. Lloyd, Kee Siong Ng
IJCAI
1989
14 years 10 months ago
Maximum Entropy in Nilsson's Probabilistic Logic
Nilsson's Probabilistic Logic is a set theoretic mechanism for reasoning with uncertainty. We propose a new way of looking at the probability constraints enforced by the fram...
Thomas B. Kane
ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 9 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
IJCAI
1989
14 years 10 months ago
Measure-Free Conditioning, Probability and Non-Monotonic Reasoning
Recent results in the foundations of probability theory indicate that a conditional probability can be viewed as a probability attached to a mathematical entity called a measure-f...
Didier Dubois, Henri Prade
MLG
2007
Springer
15 years 3 months ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos