by Peter A. Flach, Elias Gyftodimos, Nicolas Lachiche
http://www.cs.bris.ac.uk/home/flach/papers/mi19-final.pdf
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Abstract:
Vol. 7(2002): nr 11
Citations
|
4388
|
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
– Pearl
- 1988
|
|
1877
|
Artificial Intelligence: A Modern Approach
– Russell, Norvig
- 2002
|
|
843
|
Efficient induction of logic programs
– Muggleton, Feng
- 1990
|
|
675
|
E: A Bayesian method for the induction of probabilistic networks from data
– GF, Herskovits
- 1992
|
|
201
|
An analysis of first-order logics of probability
– Halpern
- 1990
|
|
59
|
Programming in an integrated functional and logic language
– Lloyd
- 1999
|
|
58
|
Learning nonrecursive definitions of relations with LINUS
– Lavrač, Dˇzeroski, et al.
- 1991
|
|
42
|
1BC: A first-order bayesian classifier
– Lachiche, Flach
- 1999
|
|
37
|
Parameter Estimation in Stochastic Logic Programs
– Cussens
|
|
32
|
Strongly typed inductive concept learning
– Flach, Giraud-Carrier, et al.
- 1998
|
|
23
|
Propagating uncertainty by logic sampling in Bayes' networks
– Henrion
- 1988
|
|
21
|
Probabilistic Relational Models
– Koller
- 1999
|
|
17
|
1BC2: a true first-order Bayesian Classifier
– Lachiche, Flach
- 2002
|
|
14
|
Combining divide-and-conquer and separate-and-conquer for efficient and effective rule induction
– Boström, Asker
- 1999
|
|
8
|
Knowledge representation for inductive learning
– Flach
- 1999
|
|
8
|
and Luc De Raedt. Bayesian logic programs
– Kersting
- 2000
|
|
1
|
Modeling Techniques and Algorithms for Probabilistic Model-Based Diagnosis and Repair
– Srinivas
- 1995
|
