Result 1 to 20 of 141 total
Imprecise probabilities for representing ignorance about a parameter. (English)
Int. J. Approx. Reasoning 53, No. 3, 347-362 (2012).
1
Sets of desirable gambles: conditioning, representation, and precise probabilities. (English)
Int. J. Approx. Reasoning 52, No. 7, 1034-1055 (2011).
2
Locally averaged Bayesian Dirichlet metrics. (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, 217-228 (2011).
3
Probabilistic graphical models in artificial intelligence. (English)
Appl. Soft. Comput. 11, No. 2, 1511-1528 (2011).
4
Approximate inference in Bayesian networks using binary probability trees. (English)
Int. J. Approx. Reasoning 52, No. 1, 49-62 (2011).
5
A method for integrating expert knowledge when learning Bayesian networks from data (English)
IEEE Transactions on Systems, Man, and Cybernetics, Part B 41, No. 5, 1382-1394 (2011).
6
Locally averaged Bayesian Dirichlet metrics (English)
ECSQARU, 217-228 (2011).
7
Special issue: Imprecise probability in statistical inference and decision making (ISIPTA ’09). Selected papers based on the presentations at the 6th international symposium, Durham, UK, July 2009. (English)
Int. J. Approx. Reasoning 51, No. 9, 1011-1171 (2010).
8
Independence concepts in evidence theory. (English)
Int. J. Approx. Reasoning 51, No. 7, 748-758 (2010).
9
An importance sampling approach to integrate expert knowledge when learning Bayesian networks from data. (English)
Hüllermeier, Eyke (ed.) et al., Computational intelligence for knowledge-based systems design. 13th international conference on information processing and management of uncertainty, IPMU 2010, Dortmund, Germany, June 28 ‒ July 2, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-14048-8/pbk). Lecture Notes in Computer Science 6178. Lecture Notes in Artificial Intelligence, 685-695 (2010).
10
Recursive probability trees for Bayesian networks. (English)
Meseguer, Pedro (ed.) et al., Current topics in artificial intelligence. 13th conference of the Spanish association for artificial intelligence, CAEPIA 2009, Seville, Spain, November 9‒13, 2009. Selected papers. Berlin: Springer (ISBN 978-3-642-14263-5/pbk). Lecture Notes in Computer Science 5988. Lecture Notes in Artificial Intelligence, 242-251 (2010).
11
An importance sampling approach to integrate expert knowledge when learning Bayesian networks from data (English)
IPMU, 685-695 (2010).
12
Emerging motor behaviors: learning joint coordination in articulated mobile robots. (English)
Neurocomputing 72, No. 16-18, 3624-3630 (2009).
13
A Bayesian random split to build ensembles of classification trees. (English)
Sossai, Claudio (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 10th European conference, ECSQARU 2009, Verona, Italy, July 1‒3, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02905-9/pbk). Lecture Notes in Computer Science 5590. Lecture Notes in Artificial Intelligence, 469-480 (2009).
14
Binary probability trees for Bayesian networks inference. (English)
Sossai, Claudio (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 10th European conference, ECSQARU 2009, Verona, Italy, July 1‒3, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02905-9/pbk). Lecture Notes in Computer Science 5590. Lecture Notes in Artificial Intelligence, 180-191 (2009).
15
Social robot paradigms: An overview. (English)
Cabestany, Joan (ed.) et al., Bio-inspired systems: Computational and ambient intelligence. 10th international work-conference on artificial neural networks, IWANN 2009, Salamanca, Spain, June 10‒12, 2009. Proceedings. Part I. Berlin: Springer (ISBN 978-3-642-02477-1/pbk). Lecture Notes in Computer Science 5517, 773-780 (2009).
16
Binary probability trees for Bayesian networks inference (English)
ECSQARU, 180-191 (2009).
17
A Bayesian random Split to build ensembles of classification trees (English)
ECSQARU, 469-480 (2009).
18
Coordination motion-tasks using actual robot dynamics (English)
CCIA, 83-90 (2009).
19
Recursive probability trees for Bayesian networks (English)
CAEPIA, 242-251 (2009).
20
Result 1 to 20 of 141 total
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