-
1
-
-
84910039968
-
Media centre Fact sheet N0104
-
Reviewed 2013 Feb
-
WHO. Media centre Fact sheet N0104. Reviewed 2013 Feb.
-
-
-
-
2
-
-
84870370352
-
Global tuberculosis report 12
-
WHO/ HTM/ TB/ 2012. 6
-
Geneva WHO, World Health Organization. Global tuberculosis report12.WHO/ HTM/ TB/ 2012. 6; 2012. Avail-able from: http://www.who.int/tb/publications/global_report/en/
-
(2012)
-
-
-
3
-
-
40549096921
-
Global tuberculosis control: surveillance, planning, financing
-
WHO. Global tuberculosis control: surveillance, planning, financing; 2008.
-
(2008)
-
-
-
5
-
-
26444454606
-
Feature selection for unsupervised learning
-
Dy JG, Brodley CE. Feature selection for unsupervised learning. J Mach Learn Res. 2004; 5:845-889.
-
(2004)
J Mach Learn Res.
, vol.5
, pp. 845-889
-
-
Dy, J.G.1
Brodley, C.E.2
-
6
-
-
0004255908
-
Machine learning
-
Burr Ridge, IL: McGraw Hill
-
Mitchell TM. Machine learning. Burr Ridge, IL: McGraw Hill; 1997.
-
(1997)
-
-
Mitchell, T.M.1
-
7
-
-
0026839971
-
Fast generic selection of features for neural network classifiers
-
Brill FZ, Brown DE, Martin WN. Fast generic selection of features for neural network classifiers. IEEE Trans Neural Network. 1992; 3(2):324-28.
-
(1992)
IEEE Trans Neural Network.
, vol.3
, Issue.2
, pp. 324-328
-
-
Brill, F.Z.1
Brown, D.E.2
Martin, W.N.3
-
8
-
-
0031359667
-
Knowledge extraction from artificial neural network models
-
Computational Cybernetics and Simulation. Orlando, FL, Oct 12-15
-
Boger Z, Guterman H. Knowledge extraction from artificial neural network models. 1997 IEEE International Conference on Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation. Orlando, FL; 1997 Oct 12-15. 3030-3035.
-
(1997)
1997 IEEE International Conference on Systems, Man, and Cybernetics, 1997
, pp. 3030-3035
-
-
Boger, Z.1
Guterman, H.2
-
10
-
-
25644459607
-
Introduction to machine learning
-
MIT press
-
Alpaydin E. Introduction to machine learning. MIT press; 2004.
-
(2004)
-
-
Alpaydin, E.1
-
11
-
-
0003413187
-
Neural Networks: A comprehensive foundation 2
-
NJ, USA: Prentice Hall PTR
-
Haykin S. Neural Networks: A comprehensive foundation 2. NJ, USA: Prentice Hall PTR; 2004.
-
(2004)
-
-
Haykin, S.1
-
12
-
-
33645130172
-
Supervised classifier performance on the UCI database
-
University of Adelaide
-
Hoang A. Supervised classifier performance on the UCI database. University of Adelaide; 1997.
-
(1997)
-
-
Hoang, A.1
-
13
-
-
0024880831
-
Multilayer feed forward networks are universal approximators
-
Hornik K, Stinchcombe M, White H. Multilayer feed forward networks are universal approximators. Neural Network. 1989; 2(5):359-66.
-
(1989)
Neural Network.
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
14
-
-
0004291150
-
Learning and soft computing: support vector machines, neural networks, and fuzzy logic models
-
Cambridge, MA: MIT press
-
Kecman V. Learning and soft computing: support vector machines, neural networks, and fuzzy logic models. Cambridge, MA: MIT press; 2001.
-
(2001)
-
-
Kecman, V.1
-
15
-
-
0003466022
-
An overview of genetic algorithms: Part 1, Fundamentals
-
University computing
-
Beasley D, Martin RR, Bull DR. An overview of genetic algorithms: Part 1, Fundamentals. University computing. 1993; 1592):58-69.
-
(1592)
, pp. 58-69
-
-
Beasley, D.1
Martin, R.R.2
Bull, D.R.3
-
16
-
-
0003587805
-
An introduction to genetic algorithms
-
Cambridge, MA, USA: MIT Press
-
Melanie M. An introduction to genetic algorithms. Cambridge, MA, USA: MIT Press; 1999.
-
(1999)
-
-
Melanie, M.1
-
17
-
-
0003849948
-
Handbook of genetic algorithms
-
New York: Van Nostrand Reinhold
-
Davis LD. Handbook of genetic algorithms; New York: Van Nostrand Reinhold; 1991.
-
(1991)
-
-
Davis, L.D.1
-
19
-
-
84910086181
-
Optimising neural network with genetic algorithm-Honeywell-SSDC
-
Harp SA, Smad T. Optimising neural network with genetic algorithm-Honeywell-SSDC. 1993:1138-43.
-
(1993)
, pp. 1138-1143
-
-
Harp, S.A.1
Smad, T.2
-
20
-
-
0003463297
-
Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence
-
U Michigan Press
-
Holland JH. Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press; 1975.
-
(1975)
-
-
Holland, J.H.1
-
21
-
-
0031191630
-
The use of the area under the ROC curve in the evaluation of machine learning algorithms
-
Bradley AP. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern recognition. 1997; 30(7):1145-59.
-
(1997)
Pattern recognition.
, vol.30
, Issue.7
, pp. 1145-1159
-
-
Bradley, A.P.1
-
23
-
-
84910023587
-
-
MATLAB R2011a Student Version
-
MATLAB R2011a Student Version.
-
-
-
|