Result 1 to 20 of 136 total
Biomedical diagnosis based on ion mobility spectrometry ‒ a case study using probabilistic relational modelling and learning. (English)
Greco, Salvatore (ed.) et al., Advances in computational intelligence. 14th international conference on information processing and management of uncertainty in knowledge-based systems, IPMU 2012, Catania, Italy, July 9‒13, 2012. Proceedings, Part IV. Berlin: Springer (ISBN 978-3-642-31723-1/pbk; 978-3-642-31724-8/ebook). Communications in Computer and Information Science 300, 665-675 (2012).
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Coordinate-based pattern-mining on functional neuroimaging databases. (English)
Greco, Salvatore (ed.) et al., Advances in computational intelligence. 14th international conference on information processing and management of uncertainty in knowledge-based systems, IPMU 2012, Catania, Italy, July 9‒13, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-31708-8/pbk; 978-3-642-31709-5/ebook). Communications in Computer and Information Science 297, 240-249 (2012).
2
Special issue: Relational approaches to knowledge representation and learning. Selected papers based on the presentations at the workshop, Paderborn, Germany, September 15, 2009. (English)
Log. J. IGPL 20, No. 5, 771-966 (2012).
3
How to exploit parametric uniformity for maximum entropy reasoning in a relational probabilistic logic. (English)
Fariñas del Cerro, Luis (ed.) et al., Logics in artificial intelligence. 13th European conference, JELIA 2012, Toulouse, France, September 26‒28, 2012. Proceeding. Berlin: Springer (ISBN 978-3-642-33352-1/pbk). Lecture Notes in Computer Science 7519. Lecture Notes in Artificial Intelligence, 189-201 (2012).
4
On lifted inference for a relational probabilistic conditional logic with maximum entropy semantics. (English)
Lukasiewicz, Thomas (ed.) et al., Foundations of information and knowledge systems. 7th international symposium, FoIKS 2012, Kiel, Germany, March 5‒9, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-28471-7/pbk). Lecture Notes in Computer Science 7153, 224-243 (2012).
5
Probabilistic logics in expert systems: approaches, implementations, and applications. (English)
Hameurlain, Abdelkader (ed.) et al., Database and expert systems applications. 22nd international conference, DEXA 2011, Toulouse, France, August 29‒September 2, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-23087-5/pbk). Lecture Notes in Computer Science 6860, 27-46 (2011).
6
Transformation rules for first-order probabilistic conditional logic yielding parametric uniformity. (English)
Bach, Joscha (ed.) et al., KI 2011: Advances in artificial intelligence. 34th annual German conference on AI, Berlin, Germany, October 4‒7,2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24454-4/pbk). Lecture Notes in Computer Science 7006. Lecture Notes in Artificial Intelligence, 157-168 (2011).
7
Evaluation and comparison criteria for approaches to probabilistic relational knowledge representation. (English)
Bach, Joscha (ed.) et al., KI 2011: Advances in artificial intelligence. 34th annual German conference on AI, Berlin, Germany, October 4‒7,2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24454-4/pbk). Lecture Notes in Computer Science 7006. Lecture Notes in Artificial Intelligence, 63-74 (2011).
8
Probabilistic logics in expert systems: approaches, implementations, and applications (English)
DEXA (1), 27-46 (2011).
9
Probabilistic relational learning for medical diagnosis based on ion mobility spectrometry. (English)
Hüllermeier, Eyke (ed.) et al., Information processing and management of uncertainty in knowledge-based systems. Theory and methods. 13th international conference, IPMU 2010, Dortmund, Germany, June 28‒July 2, 2010. Proceedings. Part I. Berlin: Springer (ISBN 978-3-642-14054-9/pbk; 978-3-642-14055-6/ebook). Communications in Computer and Information Science 80, 365-375 (2010).
10
Automated reasoning for relational probabilistic knowledge representation. (English)
Giesl, Jürgen (ed.) et al., Automated reasoning. 5th international joint conference, IJCAR 2010, Edinburgh, UK, July 16‒19, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-14202-4/pbk). Lecture Notes in Computer Science 6173. Lecture Notes in Artificial Intelligence, 218-224 (2010).
11
Special issue: Dynamics of knowledge and belief. Selected papers based on the presentations at the workshop, Osnabrück, Germany, September 10, 2007. (English)
Log. J. IGPL 18, No. 4, 485-616 (2010).
12
The relationship of the logic of big-stepped probabilities to standard probabilistic logics. (English)
Link, Sebastian (ed.) et al., Foundations of information and knowledge systems. 6th international symposium, FoIKS 2010, Sofia, Bulgaria, February 15‒19, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-11828-9/pbk). Lecture Notes in Computer Science 5956, 191-210 (2010).
13
Automated reasoning for relational probabilistic knowledge representation (English)
IJCAR, 218-224 (2010).
14
The relationship of the logic of big-stepped probabilities to standard probabilistic logics (English)
FoIKS, 191-210 (2010).
15
A system for relational probabilistic reasoning on maximum entropy (English)
FLAIRS Conference (2010).
16
Probabilistic relational learning for medical diagnosis based on ion mobility spectrometry (English)
IPMU (1), 365-375 (2010).
17
Using defeasible logic programming for argumentation-based decision support in private law (English)
COMMA, 87-98 (2010).
18
Formal similarities and differences among qualitative conditional semantics. (English)
Int. J. Approx. Reasoning 50, No. 9, 1333-1346 (2009).
19
An implementation of belief change operations based on probabilistic conditional logic. (English)
Erdem, Esra (ed.) et al., Logic programming and nonmonotonic reasoning. 10th international conference, LPNMR 2009, Potsdam, Germany, September 14‒18, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-04237-9/pbk). Lecture Notes in Computer Science 5753. Lecture Notes in Artificial Intelligence, 496-501 (2009).
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Result 1 to 20 of 136 total
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