Result 1 to 20 of 754 total
The Bayesian method for causal discovery of latent-variable models from a mixture of experimental and observational data. (English)
Comput. Stat. Data Anal. 56, No. 7, 2183-2205 (2012).
1
Bayesian network revision with probabilistic constraints. (English)
Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 20, No. 3, 317-337 (2012).
2
Importance sampling-based estimation over AND/OR search spaces for graphical models. (English)
Artif. Intell. 184-185, 38-77 (2012).
3
Probabilistic heuristics for hierarchical web data clustering. (English)
Comput. Intell. 28, No. 2, 209-233 (2012).
4
Anytime AND/OR depth-first search for combinatorial optimization. (English)
AI Commun. 25, No. 3, 211-227 (2012).
5
Bayesian network-based probabilistic XML keywords filtering. (English)
Yu, Hwanjo (ed.) et al., Database systems for advanced applications. 17th international conference, DASFAA 2012, international workshops: Flashdb, ITEMS, SNSM, SIM, DQDI, Busan, South Korea, April 15‒19, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-29022-0/pbk). Lecture Notes in Computer Science 7240, 274-285 (2012).
6
Bayesian network structure learning from limited datasets through graph evolution. (English)
Moraglio, Alberto (ed.) et al., Genetic programming. 15th European conference, EuroGP 2012, Málaga, Spain, April 11‒13, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-29138-8/pbk). Lecture Notes in Computer Science 7244, 254-265 (2012).
7
Positive definite completion problems for Bayesian networks. (English)
SIAM J. Matrix Anal. Appl. 33, No. 2, 617-638 (2012).
8
Exploiting the probability of observation for efficient Bayesian network inference. (English)
Kosseim, Leila (ed.) et al., Advances in artificial intelligence. 25th Canadian conference on artificial intelligence, Canadian AI 2012, Toronto, ON, Canada, May 28‒30, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-30352-4/pbk). Lecture Notes in Computer Science 7310. Lecture Notes in Artificial Intelligence, 133-144 (2012).
9
Performance analysis of classification techniques using different parameters. (English)
Kannan, Rajkumar (ed.) et al., Data engineering and management. Second international conference, ICDEM 2010, Tiruchirappalli, India, July 29‒31, 2010. Revised selected papers. Berlin: Springer (ISBN 978-3-642-27871-6/pbk). Lecture Notes in Computer Science 6411, 234-241 (2012).
10
Learning Bayesian network classifiers by risk minimization. (English)
Int. J. Approx. Reasoning 53, No. 2, 248-272 (2012).
11
Mixtures of truncated basis functions. (English)
Int. J. Approx. Reasoning 53, No. 2, 212-227 (2012).
12
On the properties of concept classes induced by multivalued Bayesian networks. (English)
Inf. Sci. 184, No. 1, 155-165 (2012).
13
Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks. (English)
Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 20, No. 2, 223-243 (2012).
14
Directed acyclic graphs with edge-specific bounds. (English)
Biometrika 99, No. 1, 115-126 (2012).
15
Pair-copula constructions for non-Gaussian DAG models. (English)
Can. J. Stat. 40, No. 1, 86-109 (2012).
16
A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views. (English)
Neurocomputing 75, 78-87 (2012).
17
Data fusion: concepts and ideas. 2nd revised and expanded ed. (English)
Berlin: Springer (ISBN 978-3-642-27221-9/hbk; 978-3-642-27222-6/ebook). xiv, 344~p. EUR~74.95/net; SFR~100.00; \sterling~67.99; \$~99.00 (2012).
18
Bayesian networks with imprecise probabilities: theory and application to classification. (English)
Holmes, Dawn E (ed.). et al., Data mining: foundations and intelligent paradigms. Volume 1: Clustering, association and classification. Berlin: Springer (ISBN 978-3-642-23165-0/hbk; 978-3-642-23166-7/ebook). Intelligent Systems Reference Library 23, 49-93 (2012).
19
Estimating exogenous variables in data with more variables than observations. (English)
Neural Netw. 24, No. 8, 875-880 (2011).
20
Result 1 to 20 of 754 total
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