Result 1 to 20 of 93 total
Join tree propagation utilizing both arc reversal and variable elimination. (English)
Int. J. Approx. Reasoning 52, No. 7, 948-959 (2011).
1
Conservative and aggressive rough SVR modeling. (English)
Theor. Comput. Sci. 412, No. 42, 5885-5901 (2011).
2
Evaluating probabilistic inference techniques: A question of “when,” not “which”. (English)
Benferhat, Salem (ed.) et al., Scalable uncertainty management. 5th international conference, SUM 2011, Dayton, OH, USA, October 10‒13, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23962-5/pbk). Lecture Notes in Computer Science 6929. Lecture Notes in Artificial Intelligence, 38-51 (2011).
3
Using four cost measures to determine arc reversal orderings. (English)
Liu, Weiru (ed.), Symbolic and quantitative approaches to reasoning with uncertainty. 11th European conference, ECSQARU 2011, Belfast, UK, June 29 ‒ July 1, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-22151-4/pbk). Lecture Notes in Computer Science 6717. Lecture Notes in Artificial Intelligence, 110-121 (2011).
4
Advances in artificial intelligence. 24th Canadian conference on artificial intelligence, Canadian AI 2011, St. John’s, Canada, May 25‒27, 2011. Proceedings. (English)
Lecture Notes in Computer Science 6657. Lecture Notes in Artificial Intelligence. Berlin: Springer (ISBN 978-3-642-21042-6/pbk). xiv, 434~p. EUR~66.34 (2011).
5
Evaluating probabilistic inference techniques: A question of "when, " not "which" (English)
SUM, 38-51 (2011).
6
Using four cost measures to determine arc reversal orderings (English)
ECSQARU, 110-121 (2011).
7
Special track on uncertain reasoning (English)
FLAIRS Conference (2011).
8
Join tree propagation with prioritized messages. (English)
Networks 55, No. 4, 350-359 (2010).
9
Rough support vector regression. (English)
Eur. J. Oper. Res. 206, No. 2, 445-455 (2010).
10
Causal discovery (English)
Data Mining and Knowledge Discovery Handbook, 949-958 (2010).
11
The CPT structure of variable elimination in discrete Bayesian networks (English)
Advances in Intelligent Information Systems, 245-257 (2010).
12
A formal comparison of variable elimination and arc reversal in Bayesian network inference. (English)
Intell Decis. Technol. 3, No. 3, 173-180 (2009).
13
A join tree probability propagation architecture for semantic modeling. (English)
J. Intell. Inf. Syst. 33, No. 2, 145-178 (2009).
14
A simple graphical approach for understanding probabilistic inference in Bayesian networks. (English)
Inf. Sci. 179, No. 6, 699-716 (2009).
15
A comparative study of variable elimination and arc reversal in Bayesian network inference (English)
FLAIRS Conference (2009).
16
Join tree propagation utilizing both arc reversal and variable elimination (English)
FLAIRS Conference (2009).
17
A web-based interface for hiding Bayesian network inference. (English)
An, Aijun (ed.) et al., Foundations of intelligent systems. 17th international symposium, ISMIS 2008 Toronto, Canada, May 20‒23, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-68122-9/pbk). Lecture Notes in Computer Science 4994. Lecture Notes in Artificial Intelligence, 612-617 (2008).
18
A web-based interface for hiding Bayesian network inference (English)
ISMIS, 612-617 (2008).
19
Rough sets, fuzzy sets, data mining and granular computing. 11th international conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings. (English)
Lecture Notes in Computer Science 4482. Lecture Notes in Artificial Intelligence. Berlin: Springer (ISBN 978-3-540-72529-9/pbk). xiv, 585~p. EUR~72.76 (2007).
20
Result 1 to 20 of 93 total
Start
Contact
Print
General Help
