-
3
-
-
77955189446
-
Input space reduction for Rule Based Classification
-
M. M. Mazid, S. B M. Shawkat Ali and K. S. Tickle, Input space reduction for Rule Based Classification. WSEAS Transactions on Information Science and Applications. 2010, Vol. 7, Issue 6, pp. 749-759.
-
(2010)
WSEAS Transactions On Information Science and Applications
, vol.7
, Issue.6
, pp. 749-759
-
-
Mazid, M.M.1
Shawkat, A.S.B.M.2
Tickle, K.S.3
-
7
-
-
59649130080
-
-
S. L. Ang, H. C. Ong, and H. C. Low, Criterion in selecting the clustering algorithm in Radial Basis Functional Link Nets WSEAS Transactions on Systems. 2008, Vol. 11, Issue 7, pp. 1290-1299.
-
(2008)
Criterion In Selecting the Clustering Algorithm In Radial Basis Functional Link Nets WSEAS Transactions On Systems
, vol.11
, Issue.7
, pp. 1290-1299
-
-
Ang, S.L.1
Ong, H.C.2
Low, H.C.3
-
10
-
-
33645224027
-
Multiple Explanations Driven Naïve Bayes Classifier
-
A. Almonayyes, Multiple Explanations Driven Naïve Bayes Classifier, Journal of Universal Computer Science 2006, Vol. 12, Issue 2, pp. 127-139.
-
(2006)
Journal of Universal Computer Science
, vol.12
, Issue.2
, pp. 127-139
-
-
Almonayyes, A.1
-
11
-
-
0031276011
-
Bayesian Network Classifiers
-
N. Friedman, D. Geiger and M. Goldszmidt, Bayesian Network Classifiers, Machine Learning, Vol. 29, 1997, pp. 131-163.
-
(1997)
Machine Learning
, vol.29
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
15
-
-
34547530198
-
Bayesian Networks
-
Eds., Maimon, O. and Rokach, L. Part 2, Chapter 10, Springer, New York
-
P. Sebastiani, M. M. Abad, and M. F. Ramoni, Bayesian Networks. Data Mining and Knowledge Discovery Handbook, Eds. Maimon, O. and Rokach, L. Part 2, Chapter 10, 175-208, Springer, New York 2010.
-
(2010)
Data Mining and Knowledge Discovery Handbook
, pp. 175-208
-
-
Sebastiani, P.1
Abad, M.M.2
Ramoni, M.F.3
-
16
-
-
77955124773
-
Learning Bayesian Networks with the bnlearn R Package
-
M. Scutari, Learning Bayesian Networks with the bnlearn R Package, Journal of Statistical Software, 2010, Vol. 35, Issue 3, pp. 1-22.
-
(2010)
Journal of Statistical Software
, vol.35
, Issue.3
, pp. 1-22
-
-
Scutari, M.1
-
17
-
-
84871460973
-
Introduction to Graphical Modelling
-
D., Stumpf, M., Girolami, M. eds, pages
-
M. Scutari and K. Strimmer, Introduction to Graphical Modelling. Chapter for the upcoming Handbook of Statistical Systems Biology Balding, D., Stumpf, M., Girolami, M. eds. 21 pages. 2010.
-
(2010)
Chapter For the Upcoming Handbook of Statistical Systems Biology Balding
, pp. 21
-
-
Scutari, M.1
Strimmer, K.2
-
19
-
-
34249832377
-
Bayesian method for the induction of probabilistic networks from data
-
G. F. Cooper and E. A. Herskovits, Bayesian method for the induction of probabilistic networks from data. Machine Learning, 1992, Vol. 9, pp. 309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.A.2
-
20
-
-
78649934709
-
-
Irvine, CA: University of California, School of Information and Computer Science
-
A. Frank, and A. Asuncion, UCI Machine Learning Repository [http://archive.ics.uci.edu/ml], (Irvine, CA: University of California, School of Information and Computer Science, 2010).
-
(2010)
UCI Machine Learning Repository
-
-
Frank, A.1
Asuncion, A.2
-
21
-
-
84867394198
-
Study on Factors of Floating Women's Income in Jiangsu Province Based on Bayesian Networks
-
G. Yingyu, L. Chunping and Qin Y. Study on Factors of Floating Women's Income in Jiangsu Province Based on Bayesian Networks. Advances in Neural Network Research and Applications, Lecture Notes in Electrical Engineering 2010, Vol. 67, Issue 9, pp. 819-827.
-
(2010)
Advances In Neural Network Research and Applications, Lecture Notes In Electrical Engineering
, vol.67
, Issue.9
, pp. 819-827
-
-
Yingyu, G.1
Chunping, L.2
Qin, Y.3
-
22
-
-
84863304598
-
A Language and Enviroment for Statistical Computing
-
R Development Core Team, Vienna, Austria, 201
-
R Development Core Team. A Language and Enviroment for Statistical Computing. [http://www.R-project.org]. R Foundation for Statistical Computing, Vienna, Austria, 201.
-
R Foundation For Statistical Computing
-
-
|