-
1
-
-
33751041735
-
SMART-TV: A fast and scalable nearest neighbor based classifier for data mining
-
Apr. 23-27, Dijon, France
-
Abidin, T. and W. Perrizo, 2006. SMART-TV: A fast and scalable nearest neighbor based classifier for data mining. Proceedings of the 2006 ACM Symposium on Applied Computing, Apr. 23-27, Dijon, France, pp: 536-540.
-
(2006)
Proceedings of the 2006 ACM Symposium on Applied Computing
, pp. 536-540
-
-
Abidin, T.1
Perrizo, W.2
-
3
-
-
33748878951
-
Statistical Neural Network Based Classifiers for Letter Recognition
-
D.S., K. Li and G.W. Irwin(Eds.). Springer-Verlag, Berlin Heidelberg
-
Burcu, E. and Y. Tulay, 2006. Statistical Neural Network Based Classifiers for Letter Recognition. In: Intelligent Computing in Signal Processing and Pattern Recognition, Huang, D.S., K. Li and G.W. Irwin(Eds.). Springer-Verlag, Berlin Heidelberg, pp: 1081-1086.
-
(2006)
Intelligent Computing in Signal Processing and Pattern Recognition, Huang
, pp. 1081-1086
-
-
Burcu, E.1
Tulay, Y.2
-
4
-
-
6344285519
-
A similarity learning approach to content-based image retrieval: Application to digital mammography
-
El-Naqa, I., Y. Yang, N. Galatsanos, R. Nishikawa and M. Wernick, 2004. A similarity learning approach to content-based image retrieval: Application to digital mammography. IEEE Trans. Med. Imaging, 23: 1233-1244.
-
(2004)
IEEE Trans. Med. Imaging
, vol.23
, pp. 1233-1244
-
-
El-Naqa, I.1
Yang, Y.2
Galatsanos, N.3
Nishikawa, R.4
Wernick, M.5
-
5
-
-
36448984344
-
Bayesian networks for imputation in classification problems
-
Estevam, R., R. Eduardo and H.F. Ebecken, 2007. Bayesian networks for imputation in classification problems. J Intel. Inform. Syst. 29: 231-252.
-
(2007)
J Intel. Inform. Syst.
, vol.29
, pp. 231-252
-
-
Estevam, R.1
Eduardo, R.2
Ebecken, H.F.3
-
6
-
-
67349086060
-
Technology independent circuit sizing for standard cell based design using neural networks
-
Kahraman, N. and Y. Tulay, 2009. Technology independent circuit sizing for standard cell based design using neural networks. Digital Signal Process., 19: 708-714.
-
(2009)
Digital Signal Process
, vol.19
, pp. 708-714
-
-
Kahraman, N.1
Tulay, Y.2
-
7
-
-
70350229737
-
Medical diagnosis on Pima Indian diabetes using general regression neural networks
-
Jun. 26-29, Istanbul, Turkey
-
Kayaer,K. and T.Y. Yildirim, 2003. Medical diagnosis on Pima Indian diabetes using general regression neural networks. Proceedings of the International Conference on Artificial Neural Networks/International Conference on Neural Information Processing, Jun. 26-29, Istanbul, Turkey, pp: 181-184.
-
(2003)
Proceedings of the International Conference on Artificial Neural Networks/International Conference on Neural Information Processing
, pp. 181-184
-
-
Kayaer, K.1
Yildirim, T.Y.2
-
8
-
-
33745925296
-
Is Levenberg-Marquardt the most efficient optimization algorithm for implementing bundle adjustment
-
Oct. 17-20, IEEE Xplore, London
-
Lourakis, A. and A. Argyros, 2005. Is Levenberg-Marquardt the most efficient optimization algorithm for implementing bundle adjustment. Proceedings of the 10th IEEE International Conference on Computer Vision, Oct. 17-20, IEEE Xplore, London, pp: 1526-1531.
-
(2005)
Proceedings of the 10th IEEE International Conference on Computer Vision
, pp. 1526-1531
-
-
Lourakis, A.1
Argyros, A.2
-
10
-
-
38649129100
-
Genetic optimization of GRNN for pattern recognition without feature extraction
-
Övünç, P. and T. Yildinm, 2008. Genetic optimization of GRNN for pattern recognition without feature extraction. Expert Syst. Appl., 34: 2444-2448.
-
(2008)
Expert Syst. Appl.
, vol.34
, pp. 2444-2448
-
-
Övünç, P.1
Yildinm, T.2
-
11
-
-
77949556296
-
A hybrid neural network and traditional approach for forecasting lumpy demand
-
Pour, A.N., R.B. Tabar and A. Rahimzadeh, 2008. A hybrid neural network and traditional approach for forecasting lumpy demand. Proc. World Acad. Sci. Eng. Technol., 30: 384-389.
-
(2008)
Proc. World Acad. Sci. Eng. Technol.
, vol.30
, pp. 384-389
-
-
Pour, A.N.1
Tabar, R.B.2
Rahimzadeh, A.3
-
12
-
-
0038159964
-
Soft learning vector quantization
-
Seo, S. and K. Obermayer, 2003. Soft learning vector quantization. Neural Comput. 15: 1589-1604.
-
(2003)
Neural Comput.
, vol.15
, pp. 1589-1604
-
-
Seo, S.1
Obermayer, K.2
-
13
-
-
60649113848
-
Automating microarray classification using general regression neural networks
-
Dec. 11-13, IEEE Xplore, London
-
Soares, C, L. Montgomery, K. Rouse and J.E. Gilbert, 2008. Automating microarray classification using general regression neural networks. Proceedings of the 7th International Conference on Machine Learning and Applications, Dec. 11-13, IEEE Xplore, London, pp: 508-513.
-
(2008)
Proceedings of the 7th International Conference on Machine Learning and Applications
, pp. 508-513
-
-
Soares, C.1
Montgomery, L.2
Rouse, K.3
Gilbert, J.E.4
-
14
-
-
0345257354
-
A fuzzy-soft learning vector quantization
-
Wu, K.L. and M.S. Yang, 2003. A fuzzy-soft learning vector quantization. Neurocomputing, 55: 681-697.
-
(2003)
Neurocomputing
, vol.55
, pp. 681-697
-
-
Wu, K.L.1
Yang, M.S.2
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