Result 1 to 20 of 198 total
Conditioning and interpretation shifts. (English)
Stud. Log. 100, No. 3, 583-606 (2012).
1
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).
2
Rough sets rule generating based on Bayesian theory. (Chinese)
J. Hunan Inst. Sci. Technol., Nat. Sci. 24, No. 1, 31-33 (2011).
3
Application of Bayesian approach to hydrological frequency analysis. (English)
Sci. China, Technol. Sci. 54, No. 5, 1183-1192 (2011).
4
Combining instantaneous and time-delayed interactions between genes ‒ a two phase algorithm based on information theory. (English)
Wang, Dianhui (ed.) et al., AI 2011: Advances in artificial intelligence. 24th Australasian joint conference, Perth, Australia, December 5‒8, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25831-2/pbk). Lecture Notes in Computer Science 7106. Lecture Notes in Artificial Intelligence, 102-111 (2011).
5
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique. (English)
Lu, Bao-Liang (ed.) et al., Neural information processing. 18th international conference, ICONIP 2011, Shanghai, China, November 13‒17, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-24957-0/pbk). Lecture Notes in Computer Science 7063, 248-257 (2011).
6
Price stabilization in networks ‒ what is an appropriate model? (English)
Défago, Xavier (ed.) et al., Stabilization, safety, and security of distributed systems. 13th international symposium, SSS 2011, Grenoble, France, October 10‒12, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24549-7/pbk). Lecture Notes in Computer Science 6976, 283-295 (2011).
7
Fusing multiple Bayesian knowledge sources. (English)
Int. J. Approx. Reasoning 52, No. 7, 935-947 (2011).
8
A hierarchical situation assessment model based on fuzzy Bayesian network. (English)
Deng, Hepu (ed.) et al., Artificial intelligence and computational intelligence. Third international conference, AICI 2011, Taiyuan, China, September 24‒25, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23886-4/pbk). Lecture Notes in Computer Science 7003. Lecture Notes in Artificial Intelligence, 444-454 (2011).
9
A new formulation of multi-category decision-theoretic rough sets. (English)
Yao, JingTao (ed.) et al., Rough sets and knowledge technology. 6th international conference, RSKT 2011, Banff, Canada, October 9‒12, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24424-7/pbk). Lecture Notes in Computer Science 6954. Lecture Notes in Artificial Intelligence, 514-522 (2011).
10
Preference elicitation and inverse reinforcement learning. (English)
Gunopulos, Dimitrios (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2011, Athens, Greece, September 5‒9, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-23807-9/pbk). Lecture Notes in Computer Science 6913. Lecture Notes in Artificial Intelligence, 34-48 (2011).
11
Experimental comparative study of compilation-based inference in Bayesian and possibilitic networks. (English)
Fanelli, Anna Maria (ed.) et al., Fuzzy logic and applications. 9th international workshop, WILF 2011, Trani, Italy, August 29‒31, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23712-6/pbk). Lecture Notes in Computer Science 6857. Lecture Notes in Artificial Intelligence, 155-163 (2011).
12
Accelerated learning of user profiles. (English)
Manage. Sci. 57, No. 2, 215-239 (2011).
13
Coherent infomax as a computational goal for neural systems. (English)
Bull. Math. Biol. 73, No. 2, 344-372 (2011).
14
A model of information fusion based on Bayesian networks and game theory. (Chinese)
J. Jiangxi Norm. Univ., Nat. Sci. Ed. 34, No. 2, 133-137 (2010).
15
Risky multicriteria group decision approach based on Bayesian theory and Monte Carlo simulation. (Chinese)
Syst. Eng. Electron. 32, No. 5, 971-975 (2010).
16
An empirical comparison of Bayesian and credal set theory for discrete state estimation. (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, 80-89 (2010).
17
From Bayesian classifiers to possibilistic classifiers for numerical data. (English)
Deshpande, Amol (ed.) et al., Scalable uncertainty management. 4th international conference, SUM 2010, Toulouse, France, September 27‒29, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15950-3/pbk). Lecture Notes in Computer Science 6379. Lecture Notes in Artificial Intelligence, 112-125 (2010).
18
Naive Bayesian rough sets. (English)
Yu, Jian (ed.) et al., Rough set and knowledge technology. 5th international conference, RSKT 2010, Beijing, China, October 15‒17, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16247-3/pbk). Lecture Notes in Computer Science 6401. Lecture Notes in Artificial Intelligence, 719-726 (2010).
19
A new extended dominance relation approach based on probabilistic rough set theory. (English)
Yu, Jian (ed.) et al., Rough set and knowledge technology. 5th international conference, RSKT 2010, Beijing, China, October 15‒17, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16247-3/pbk). Lecture Notes in Computer Science 6401. Lecture Notes in Artificial Intelligence, 175-180 (2010).
20
Result 1 to 20 of 198 total
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