Data Perturbation for Escaping Local Maxima in Learning (2002)

by Gal Elidan , Matan Ninio , Nir Friedman , Dale Schuurmans
Venue:IN AAAI
Citations:36 - 3 self

Active Bibliography

23 Learning hidden variable networks: The information bottleneck approach – Gal Elidan, Nir Friedman, Maxwell Chickering - 2005
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
Bagged Structure Learning of Bayesian Networks – Gal Elidan
Bioinformatics – Vol No Pages - 2003
29 Discovering the Hidden Structure of Complex Dynamic Systems – Xavier Boyen, Nir Friedman, Daphne Koller - 1999
78 Modeling Dependencies in Protein-DNA Binding Sites – Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kaplan - 2003
The Information Bottleneck EM Algorithm – Gal Elidan And, Gal Elidan, Nir Friedman - 2003
17 The Information Bottleneck EM Algorithm – Gal Elidan, Nir Friedman - 2003
1 Introduction to Learning Bayesian Networks from Data – Dirk Husmeier
15 Collective Mining of Bayesian Networks from Distributed Heterogeneous Data – R. Chen, K. Sivakumar, H. Kargupta - 2002
49 Context-Specific Bayesian Clustering for Gene Expression Data – Yoseph Barash, Nir Friedman - 2002
BAYESIAN NETWORK STRUCTURAL LEARNING AND INCOMPLETE DATA – Olivier Fran├žois
1 Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets – Olivier C. H. Fran├žois
219 Learning the structure of dynamic probabilistic networks – Nir Friedman, Kevin Murphy, Stuart Russell - 1998
40 Discovering Hidden Variables: A Structure-Based Approach – Gal Elidan , Noam Lotner, Nir Friedman, Daphne Koller - 2001
24 Learning the dimensionality of hidden variables – Gal Elidan, Nir Friedman - 2001
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
34 Discriminative, Generative and Imitative Learning – Tony Jebara - 2002
53 A Weakness in the 4.2BSD Unix TCP/IP Software – Robert T. Morris - 1985