-
1
-
-
33750455906
-
-
BUPA Liver Disorders Dataset. UCI Repository of Machine Learning Databases. ftp://ftp.ics.uci.edu/pub/machine-learning-databases/liverdisorders/bupa.data.
-
-
-
-
2
-
-
0025756235
-
Signal detectability: The use of ROC curves and their analysis
-
Centor R.M. Signal detectability: The use of ROC curves and their analysis. Medical Decision Making 11 (1991) 102-106
-
(1991)
Medical Decision Making
, vol.11
, pp. 102-106
-
-
Centor, R.M.1
-
3
-
-
33750454187
-
-
Cheung, N. (2001). Machine learning techniques for medical analysis. School of Information Technology and Electrical Engineering, B.Sc. thesis, University of Queenland.
-
-
-
-
5
-
-
33750439552
-
-
Lee, Y. J., & Mangasarian, O. L. (2001). RSVM: Reduced support vector machines. In Proceedings of the first SIAM international conference on data mining.
-
-
-
-
6
-
-
84944073718
-
Comparative exudate classification using support vector machines and neural networks
-
Fifth international conference on medical image computing and computer-assisted intervention. Dohi T., and Kikinis R. (Eds), Springer, Berlin
-
Osareh A., Mirmehdi M., Thomas B., and Markham R. Comparative exudate classification using support vector machines and neural networks. In: Dohi T., and Kikinis R. (Eds). Fifth international conference on medical image computing and computer-assisted intervention. LNCS 2489 (2002), Springer, Berlin 413-420
-
(2002)
LNCS 2489
, pp. 413-420
-
-
Osareh, A.1
Mirmehdi, M.2
Thomas, B.3
Markham, R.4
-
7
-
-
33750487246
-
-
Pham, D. T., Dimov, S. S., & Salem, Z. (2000). Technique for selecting examples in inductive learning. In European symposium on intelligent techniques (ESIT 2000), Aachen, Germany (pp. 119-127).
-
-
-
-
8
-
-
33750486269
-
-
Polat, K., Şahan, S., Kodaz, H., & Güneş, S. (2005). Karaciǧer Rahatsi{dotless}zli{dotless}ǧi{dotless} Teşhisinde Yeni Bir Si{dotless}ni{dotless}flama Yöntemi: Dani{dotless}şmali{dotless} Yapay Baǧi{dotless}şi{dotless}kli{dotless}k Sistemi (AIRS). IEEE 13. Sinyal İşleme Kurultayi{dotless} (SİU-2005), Kayseri.
-
-
-
-
9
-
-
0032638628
-
Least squares support vector machine classifiers
-
Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Processing Letters 9 3 (1999) 293-300
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
10
-
-
0038355084
-
Fuzzy least squares support vector machines for multi-class problems
-
Tsujinishi D., and Abe S. Fuzzy least squares support vector machines for multi-class problems. Neural Networks Field 16 (2003) 785-792
-
(2003)
Neural Networks Field
, vol.16
, pp. 785-792
-
-
Tsujinishi, D.1
Abe, S.2
-
11
-
-
0036582564
-
Bayesian framework for least squares support vector machine classifiers, Gaussian processes and kernel fisher discriminant analysis
-
Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., De Moor B., and Vandewalle J. Bayesian framework for least squares support vector machine classifiers, Gaussian processes and kernel fisher discriminant analysis. Neural Computation 14 5 (2002) 1115-1147
-
(2002)
Neural Computation
, vol.14
, Issue.5
, pp. 1115-1147
-
-
Van Gestel, T.1
Suykens, J.A.K.2
Lanckriet, G.3
Lambrechts, A.4
De Moor, B.5
Vandewalle, J.6
-
13
-
-
33750490854
-
-
Yalçi{dotless}n, M., & Yi{dotless}ldi{dotless}ri{dotless}m, T. (2003). Karaciǧer bozukluklari{dotless}ni{dotless}n yapay sinir aǧlari{dotless} ile teşhisi. In Biyomedikal Mühendisliǧi Ulusal Toplanti{dotless}si{dotless} (BIYOMUT 2003), Istanbul, Türkiye (pp. 293-297).
-
-
-
|