1340 search results - page 131 / 268 » Structure learning of Bayesian networks using constraints |
145
click to vote
ICMCS
2009
IEEE
15 years 2 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
138
click to vote
ESWS
2008
Springer
15 years 6 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
150
click to vote
ICALT
2006
IEEE
15 years 10 months ago
2006
IEEE
To transplant the six characteristics of traditional collaborative learning into the network collaborative learning environment, this paper proposes the design of an Internet coll...
139
click to vote
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
15 years 5 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
154
click to vote
BMCBI
2007
15 years 4 months ago
2007
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...