A Guide to the Literature on Learning Probabilistic Networks From Data (1996)

Cached

Download Links

by Wray Buntine
Citations:172 - 0 self

Active Bibliography

249 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
36 Learning Probabilistic Networks – Paul J Krause - 1998
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
1 Software for Data Analysis With Graphical Models – Wray Buntine, H. Scott Roy - 1995
unknown title – Learning Bayesian
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
2 Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data – Henry Tirri, Tomi Silander - 1998
5 Learning possibilistic graphical models from data – Christian Borgelt, Rudolf Kruse - 2003
73 Tutorial on Variational Approximation Methods – Tommi S. Jaakkola - 2000
From the Acquisition of Domain Knowledge to Its Integration with Data in Bayesian Black-Box Classifiers: A Comprehensive Approach – Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Joos V - 2001
19 Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks – Ramon Sangüesa, Ulises Cortés - 1997
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
3 Data Mining with Fuzzy Methods: Status and Perspectives – Rudolf Kruse, Detlef Nauck, Christian Borgelt - 1999
Operations and Evaluation Measures for Learning Possibilistic Graphical Models – Christian Borgelt, Rudolf Kruse
11 Graphical Models – Christian Borgelt, Jörg Gebhardt, Rudolf Kruse - 2002
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri