|
19
|
Learning hidden variable networks: The information bottleneck approach
– Gal Elidan, Nir Friedman, Maxwell Chickering
- 2005
|
|
393
|
Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
- 2002
|
|
|
Mitsubishi Electric Research Laboratories
– Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher
- 2002
|
|
|
Bagged Structure Learning of Bayesian Networks
– Gal Elidan
|
|
|
Bioinformatics
– Vol No Pages
- 2003
|
|
24
|
Discovering the Hidden Structure of Complex Dynamic Systems
– Xavier Boyen, Nir Friedman, Daphne Koller
- 1999
|
|
54
|
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
|
|
13
|
The Information Bottleneck EM Algorithm
– Gal Elidan, Nir Friedman
- 2003
|
|
1
|
Introduction to Learning Bayesian Networks from Data
– Dirk Husmeier
|
|
12
|
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
– R. Chen, K. Sivakumar, H. Kargupta
- 2002
|
|
41
|
Context-Specific Bayesian Clustering for Gene Expression Data
– Yoseph Barash, Nir Friedman
- 2002
|
|
|
BAYESIAN NETWORK STRUCTURAL LEARNING AND INCOMPLETE DATA
– Olivier François
|
|
161
|
Learning the structure of dynamic probabilistic networks
– Nir Friedman, Kevin Murphy, Stuart Russell
- 1998
|
|
38
|
Discovering Hidden Variables: A Structure-Based Approach
– Gal Elidan , Noam Lotner, Nir Friedman, Daphne Koller
- 2001
|
|
23
|
Learning the dimensionality of hidden variables
– Gal Elidan, Nir Friedman
- 2001
|
|
8
|
Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
– Helge Langseth, Thomas D. Nielsen, Richard Dybowski
- 2003
|
|
45
|
A Weakness in the 4.2BSD Unix TCP/IP Software
– Robert T. Morris
- 1985
|
|
21
|
Discriminative, Generative and Imitative Learning
– Tony Jebara
- 2002
|
