Result 1 to 20 of 40 total
A novel image matting approach based on naive Bayes classifier. (English)
Huang, De-Shuang (ed.) et al., Intelligent computing technology. 8th international conference, ICIC 2012, Huangshan, China, July 25‒29, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31587-9/pbk). Lecture Notes in Computer Science 7389, 433-441 (2012).
1
Text classifiers for automatic articles categorization. (English)
Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing. 11th international conference, ICAISC 2012, Zakopane, Poland, April 29‒May 3, 2012. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-29349-8/pbk). Lecture Notes in Computer Science 7268. Lecture Notes in Artificial Intelligence, 196-204 (2012).
2
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).
3
Network user identify on feature weighting naive Bayes classification algorithm. (Chinese)
J. Comput. Appl. 31, No. 12, 3268-3270 (2011).
4
Linking temporal first-order logic with Bayesian networks for the simulation of pervasive computing systems. (English)
Simul. Model. Pract. Theory 19, No. 1, 161-180 (2011).
5
The von Mises naive Bayes classifier for angular data. (English)
Lozano, Jose A. (ed.) et al., Advances in artificial intelligence. 14th conference of the Spanish association for artificial intelligence, CAEPIA 2011, La Laguna, Spain, November 7‒11, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-25273-0/pbk). Lecture Notes in Computer Science 7023. Lecture Notes in Artificial Intelligence, 145-154 (2011).
6
A technique for improving the performance of naive Bayes text classification. (English)
Gong, Zhiguo (ed.) et al., Web information systems and mining. International conference, WISM 2011, Taiyuan, China, September 24‒25, 2011, Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-23981-6/pbk). Lecture Notes in Computer Science 6988, 196-203 (2011).
7
Investigation into stress of mothers with mental retardation children based on EEG (electroencephalography) and psychology instruments. (English)
Hu, Bin (ed.) et al., Brain informatics. International conference, BI 2011, Lanzhou, China, September 7‒9, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23604-4/pbk). Lecture Notes in Computer Science 6889. Lecture Notes in Artificial Intelligence, 238-249 (2011).
8
Separating occluded humans by Bayesian pixel classifier with re-weighted posterior probability. (English)
Blanc-Talon, Jacques (ed.) et al., Advances concepts for intelligent vision systems. 13th international conference, ACIVS 2011, Ghent, Belgium, August 22‒25, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23686-0/pbk). Lecture Notes in Computer Science 6915, 543-553 (2011).
9
Individual attribute prior setting methods for naïve Bayesian classifiers. (English)
Pattern Recognition 44, No. 5, 1041-1047 (2011).
10
Constructing blog entry classifiers using blog-level topic labels. (English)
Cheng, Pu-Jen (ed.) et al., Information retrieval technology. 6th Asia information retrieval societies conference, AIRS 2010, Taipei, Taiwan, December 1‒3, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-17186-4/pbk). Lecture Notes in Computer Science 6458, 360-369 (2010).
11
A probabilistic model based on $n$-grams for bilingual word sense disambiguation. (English)
Sidorov, Grigori (ed.) et al., Advances in artificial intelligence. 9th Mexican international conference on artificial intelligence, MICAI 2010, Pachuca, Mexico, November 8‒13, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-16760-7/pbk). Lecture Notes in Computer Science 6437. Lecture Notes in Artificial Intelligence, 82-91 (2010).
12
Machine learning study of DNA binding by transcription factors from the LacI family. (English)
Dijkstra, Tjeerd M. H. (ed.) et al., Pattern recognition in bioinformatics. 5th IAPR international conference, PRIB 2010, Nijmegen, The Netherlands, September 22‒24, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-16000-4/pbk). Lecture Notes in Computer Science 6282. Lecture Notes in Bioinformatics, 15-26 (2010).
13
Restricting the IDM for classification. (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, 328-337 (2010).
14
Evolutionary learning of dynamic naive Bayesian classifiers. (English)
J. Autom. Reasoning 45, No. 1, 21-37 (2010).
15
Machine learning approach to automatic exudate detection in retinal images from diabetic patients. (English)
J. Mod. Opt. 57, No. 2, 124-135 (2010).
16
Locally application of random subspace with simple Bayesian classifier. (English)
Int. J. Data Min. Model. Manag. 1, No. 4, 375-392 (2009).
17
Naïve possibilistic network classifiers. (English)
Fuzzy Sets Syst. 160, No. 22, 3224-3238 (2009).
18
A study of random linear oracle ensembles. (English)
Benediktsson, Jón Atli (ed.) et al., Multiple classifier systems. 8th international workshop, MCS 2009, Reykjavik, Iceland, June 10‒12, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-02325-5/pbk). Lecture Notes in Computer Science 5519, 488-497 (2009).
19
JNCC2: the Java implementation of naive credal classifier 2 (. (English)
J. Mach. Learn. Res. 9, 2695-2698 (2008).
20
Result 1 to 20 of 40 total
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