Result 1 to 20 of 65 total
Solving limited memory influence diagrams. (English)
J. Artif. Intell. Res. (JAIR) 44, 97-140 (2012).
1
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).
2
Independent natural extension. (English)
Artif. Intell. 175, No. 12-13, 1911-1950 (2011).
3
Epistemic irrelevance in credal nets: the case of imprecise Markov trees. (English)
Int. J. Approx. Reasoning 51, No. 9, 1029-1052 (2010).
4
Independent natural extension. (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, 737-746 (2010).
5
Generalized loopy 2U: a new algorithm for approximate inference in credal networks. (English)
Int. J. Approx. Reasoning 51, No. 5, 474-484 (2010).
6
Independent natural extension (English)
IPMU, 737-746 (2010).
7
Limits of learning about a categorical latent variable under prior near-ignorance. (English)
Comput. Res. Repos. 2009, Article No. 0904.4527 (2009).
8
Limits of learning about a categorical latent variable under prior near-ignorance. (English)
Int. J. Approx. Reasoning 50, No. 4, 597-611 (2009).
9
Conservative inference rule for uncertain reasoning under incompleteness. (English)
J. Artif. Intell. Res. (JAIR) 34, 757-821 (2009).
10
Coherence graphs. (English)
Artif. Intell. 173, No. 1, 104-144 (2009).
11
Reproducing human decisions in reservoir management: the case of lake lugano (English)
ITEE, 252-263 (2009).
12
Lazy naive credal classifier (English)
KDD Workshop on Knowledge Discovery from Uncertain Data, 30-37 (2009).
13
JNCC2: the Java implementation of naive credal classifier 2 (. (English)
J. Mach. Learn. Res. 9, 2695-2698 (2008).
14
Learning reliable classifiers from small or incomplete data sets: the naive credal classifier 2. (English)
J. Mach. Learn. Res. 9, 581-621 (2008).
15
Decision-theoretic specification of credal networks: a unified language for uncertain modeling with sets of Bayesian networks. (English)
Int. J. Approx. Reasoning 49, No. 2, 345-361 (2008).
16
Credal model averaging: An extension of Bayesian model averaging to imprecise probabilities. (English)
Daelemans, Walter (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2008, Antwerp, Belgium, September 15‒19, 2008, Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-87478-2/pbk). Lecture Notes in Computer Science 5211. Lecture Notes in Artificial Intelligence, 257-271 (2008).
17
JNCC2: an extension of naive Bayes classifier suited for small and incomplete data sets (English)
Environmental Modelling and Software 23, No. 7, 960-961 (2008).
18
Credal model averaging: an extension of Bayesian model averaging to imprecise probabilities (English)
ECML/PKDD (1), 257-271 (2008).
19
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications (English)
DMIN, 84-90 (2008).
20
Result 1 to 20 of 65 total
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