-
1
-
-
79956146324
-
An iterative method for deciding SVM and single layer neural network structures
-
Hamdani Tarek M., Alimi Adel M., et al. An iterative method for deciding SVM and single layer neural network structures. Neural Process. Lett. 2011, 33:171-186.
-
(2011)
Neural Process. Lett.
, vol.33
, pp. 171-186
-
-
Hamdani, T.M.1
Alimi, A.M.2
-
2
-
-
52649157012
-
Distance metric learning for large margin nearest neighbor classification
-
in: Proceedings of NIPS
-
K. Weinberger, J. Blitzer, L. Saul, Distance metric learning for large margin nearest neighbor classification, in: Proceedings of NIPS, 2006.
-
(2006)
-
-
Weinberger, K.1
Blitzer, J.2
Saul, L.3
-
3
-
-
77957018181
-
A hybrid SVM based decision tree
-
Kumar M., Gopal M. A hybrid SVM based decision tree. Pattern Recognition 2010, 43:3977-3987.
-
(2010)
Pattern Recognition
, vol.43
, pp. 3977-3987
-
-
Kumar, M.1
Gopal, M.2
-
4
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Christopher J.C.Burges A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discovery 1998, 2(2):121-167.
-
(1998)
Data Min. Knowl. Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Christopher, J.1
-
5
-
-
51349154782
-
Finite-dimensional projection for classification and statistical learning
-
Blanchard G., Zwald L. Finite-dimensional projection for classification and statistical learning. IEEE Trans. Inf. Theory 2008, 54:4169-4182.
-
(2008)
IEEE Trans. Inf. Theory
, vol.54
, pp. 4169-4182
-
-
Blanchard, G.1
Zwald, L.2
-
6
-
-
33845423521
-
-
Springer Verlag, Berlin, Heidelberg
-
Huang T.M., Kecman V., Kopriva I. Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning 2006, Springer Verlag, Berlin, Heidelberg, pp. 1-260.
-
(2006)
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning
, pp. 1-260
-
-
Huang, T.M.1
Kecman, V.2
Kopriva, I.3
-
7
-
-
38649138750
-
Forecasting financial condition of Chinese listed companies based on support vector machine
-
Ding Y.-S., Song X.-P., Zen Y.M. Forecasting financial condition of Chinese listed companies based on support vector machine. Expert Syst. Appl. 2008, 34:3081-3089.
-
(2008)
Expert Syst. Appl.
, vol.34
, pp. 3081-3089
-
-
Ding, Y.-S.1
Song, X.-P.2
Zen, Y.M.3
-
8
-
-
34548697717
-
Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network
-
Ding Y.-S., Zhang T.-L., Chou K.C. Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. Protein Pept. Lett. 2007, 14:811-815.
-
(2007)
Protein Pept. Lett.
, vol.14
, pp. 811-815
-
-
Ding, Y.-S.1
Zhang, T.-L.2
Chou, K.C.3
-
9
-
-
34250856245
-
Feature extraction via KPCA for classification of gait patterns
-
Wu J.-N., Wang J., Liu L. Feature extraction via KPCA for classification of gait patterns. Hum. Movement Sci. 2007, 26:393-411.
-
(2007)
Hum. Movement Sci.
, vol.26
, pp. 393-411
-
-
Wu, J.-N.1
Wang, J.2
Liu, L.3
-
10
-
-
33748488879
-
Robust identification of non-linear dynamic systems using support vector machine
-
Zhang H.-R., Wang X.-D. Robust identification of non-linear dynamic systems using support vector machine. Sci., Meas. Technol. 2006, 153:125-129.
-
(2006)
Sci., Meas. Technol.
, vol.153
, pp. 125-129
-
-
Zhang, H.-R.1
Wang, X.-D.2
-
11
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Scholkopf B., Smola A., Muller K.-R. Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput. 1998, 10:1299-1319.
-
(1998)
Neural Comput.
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
12
-
-
75749153570
-
A general kernelization framework for learning algorithms based on kernel PCA
-
Zhang C.-S., Nie F.-P., Xiang S.-M. A general kernelization framework for learning algorithms based on kernel PCA. Neurocomputing 2009, 73:959-967.
-
(2009)
Neurocomputing
, vol.73
, pp. 959-967
-
-
Zhang, C.-S.1
Nie, F.-P.2
Xiang, S.-M.3
-
13
-
-
38849204864
-
Optimizing the data-dependent kernel under a unified kernel optimization framework
-
Chen B., Liu H.-W., Bao Z. Optimizing the data-dependent kernel under a unified kernel optimization framework. Pattern Recognition 2008, 41:2107-2119.
-
(2008)
Pattern Recognition
, vol.41
, pp. 2107-2119
-
-
Chen, B.1
Liu, H.-W.2
Bao, Z.3
-
14
-
-
58749115727
-
Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
-
Zhang Y.-W. Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM. Chem. Eng. Sci. 2009, 64:801-811.
-
(2009)
Chem. Eng. Sci.
, vol.64
, pp. 801-811
-
-
Zhang, Y.-W.1
-
15
-
-
58349084263
-
A novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression
-
Wu C.-H., Tzeng G.-H., Lin R.-H. A novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression. Expert Syst. Appl. 2009, 36:4725-4735.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 4725-4735
-
-
Wu, C.-H.1
Tzeng, G.-H.2
Lin, R.-H.3
-
16
-
-
0037382208
-
Evaluation of simple performance measures for tuning SVM hyperparameters
-
Duan K., Keerthi S.S., Poo A.N. Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing 2003, 51:41-59.
-
(2003)
Neurocomputing
, vol.51
, pp. 41-59
-
-
Duan, K.1
Keerthi, S.S.2
Poo, A.N.3
-
17
-
-
58349121846
-
Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system
-
Hu Z.-H., Ding Y.-S., Shao Q. Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system. Expert Syst. Appl. 2009, 36:5248-5255.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 5248-5255
-
-
Hu, Z.-H.1
Ding, Y.-S.2
Shao, Q.3
-
18
-
-
77957929022
-
A multi-objective artificial immune algorithm for parameter optimization in support vector machine
-
Ilhan A., Mehmet K., Erhan A. A multi-objective artificial immune algorithm for parameter optimization in support vector machine. Appl. Soft Comput. 2011, 11:120-129.
-
(2011)
Appl. Soft Comput.
, vol.11
, pp. 120-129
-
-
Ilhan, A.1
Mehmet, K.2
Erhan, A.3
-
20
-
-
0036739033
-
Relationship between support vector set and kernel functions in SVM
-
Zhang L., Zhang B. Relationship between support vector set and kernel functions in SVM. J. Comput. Sci. Technol. 2002, 17:549-555.
-
(2002)
J. Comput. Sci. Technol.
, vol.17
, pp. 549-555
-
-
Zhang, L.1
Zhang, B.2
-
22
-
-
77952550960
-
A new kernelization framework for Mahalanobis distance learning algorithms
-
Ratthachat C., Teesid K., Pasakorn T., et al. A new kernelization framework for Mahalanobis distance learning algorithms. Neurocomputing 2010, 73:1570-1579.
-
(2010)
Neurocomputing
, vol.73
, pp. 1570-1579
-
-
Ratthachat, C.1
Teesid, K.2
Pasakorn, T.3
-
23
-
-
33748076461
-
A GA-based feature selection and parameters optimization for support vector machines
-
Huang Ch.-L., Wang Ch.-J. A GA-based feature selection and parameters optimization for support vector machines. Expert Syst. Appl. 2006, 31:231-240.
-
(2006)
Expert Syst. Appl.
, vol.31
, pp. 231-240
-
-
Huang, C.-L.1
Wang, C.-J.2
-
24
-
-
79151484699
-
Feature selection and parameter optimization for support vector machines: a new approach based on genetic algorithm with feature chromosomes
-
Zhao M.-Y., Fu Ch., Ji L.-P., Tang K. Feature selection and parameter optimization for support vector machines: a new approach based on genetic algorithm with feature chromosomes. Expert Syst. Appl. 2011, 38(5):5197-5204.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.5
, pp. 5197-5204
-
-
Zhao, M.-Y.1
Fu, C.2
Ji, L.-P.3
Tang, K.4
-
25
-
-
0028203106
-
Convergence analysis of canonical genetic algorithms
-
RudolPh G. Convergence analysis of canonical genetic algorithms. IEEE Trans. Neural Networks 1994, 5(l):96-101.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, Issue.L
, pp. 96-101
-
-
RudolPh, G.1
-
26
-
-
34848880140
-
Adaptive immune-genetic algorithm for global optimization to multivariable function
-
Yong Sh., Li Y.-Y., et al. Adaptive immune-genetic algorithm for global optimization to multivariable function. J. Syst. Eng. Electron. 2007, 18(3):655-660.
-
(2007)
J. Syst. Eng. Electron.
, vol.18
, Issue.3
, pp. 655-660
-
-
Yong, S.1
Li, Y.-Y.2
-
27
-
-
33845995828
-
Immune memory clonal selection algorithms for designing stack filters
-
Dong W.-Sh., Shi G.-M., Zhang L. Immune memory clonal selection algorithms for designing stack filters. Neurocomputing 2007, 70(4-6):777-784.
-
(2007)
Neurocomputing
, vol.70
, Issue.4-6
, pp. 777-784
-
-
Dong, W.-S.1
Shi, G.-M.2
Zhang, L.3
-
28
-
-
84892330859
-
-
Springer, New York
-
Schacknow P.N., Samples J.R. The Glaucoma Book: A Practical, Evidence-Based Approach to Patient Care, 1st edition 2010, Springer, New York, pp. 1015-1021.
-
(2010)
The Glaucoma Book: A Practical, Evidence-Based Approach to Patient Care, 1st edition
, pp. 1015-1021
-
-
Schacknow, P.N.1
Samples, J.R.2
-
29
-
-
63149163756
-
For which glaucoma suspects is it appropriate to initiate treatment?
-
Cheng E.-M., Giaconi J.A., Coleman A.L., et al. For which glaucoma suspects is it appropriate to initiate treatment?. Ophthalmology 2009, 116:710-716.
-
(2009)
Ophthalmology
, vol.116
, pp. 710-716
-
-
Cheng, E.-M.1
Giaconi, J.A.2
Coleman, A.L.3
-
30
-
-
72049085515
-
Pulsar perimetry in the diagnosis of early glaucoma
-
Zeppieri M., Brusini P., Parisi L., et al. Pulsar perimetry in the diagnosis of early glaucoma. Am. J. Ophthalmol. 2009, 149:102-112.
-
(2009)
Am. J. Ophthalmol.
, vol.149
, pp. 102-112
-
-
Zeppieri, M.1
Brusini, P.2
Parisi, L.3
-
31
-
-
0345500652
-
-
Kluwer Academic Publishers, Norwell
-
Mizoguchi F., Ohwada H., Daidoji M., et al. Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes, Intelligent Data Analysis in Medicine and Pharmacology, Kluwer International Series in Engineering and Computer Science 1997, Kluwer Academic Publishers, Norwell, pp. 227-242.
-
(1997)
Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes, Intelligent Data Analysis in Medicine and Pharmacology, Kluwer International Series in Engineering and Computer Science
, pp. 227-242
-
-
Mizoguchi, F.1
Ohwada, H.2
Daidoji, M.3
-
32
-
-
77955516396
-
Finding optimal model parameters by deterministic and annealed focused grid search
-
Álvaro B.J., Jorge L.L., José R.D. Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 2009, 72:2824-2832.
-
(2009)
Neurocomputing
, vol.72
, pp. 2824-2832
-
-
Álvaro, B.J.1
Jorge, L.L.2
José, R.D.3
-
33
-
-
84862805140
-
-
UCI Machine Learning Repository
-
A. Asuncion, D.J. Newman, UCI Machine Learning Repository. , 2007. http://archive.ics.uci.edu/ml/datasets.html.
-
(2007)
-
-
Asuncion, A.1
Newman, D.J.2
-
34
-
-
84862790578
-
-
Delve Data for Evaluating Learning in Valid Experiments.
-
C.E. Rasmussen, R.M. Neal, G. Hinton et al., Delve Data for Evaluating Learning in Valid Experiments. , 1995-1996. http://www.cs.toronto.edu/~delve/.
-
-
-
Rasmussen, C.E.1
Neal, R.M.2
Hinton, G.3
-
35
-
-
78651327603
-
∞ synchronization and state estimation for discrete time-varying stochastic complex networks over a finite horizon
-
∞ synchronization and state estimation for discrete time-varying stochastic complex networks over a finite horizon. IEEE Trans. Neural Networks 2011, 22(1):145-157.
-
(2011)
IEEE Trans. Neural Networks
, vol.22
, Issue.1
, pp. 145-157
-
-
Shen, B.1
Wang, Z.-D.2
Liu, X.-H.3
-
36
-
-
73949136715
-
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
-
Wang Z.-D., Wang Y., Liu Y.-R. Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays. IEEE Trans. Neural Networks 2010, 21(1):11-25.
-
(2010)
IEEE Trans. Neural Networks
, vol.21
, Issue.1
, pp. 11-25
-
-
Wang, Z.-D.1
Wang, Y.2
Liu, Y.-R.3
-
37
-
-
67949117118
-
Stability and synchronization of discrete-time Markovian jumping neural networks with mixed mode-dependent time delays
-
Liu Y.-R., Wang Z.-D., Liang J.-L., et al. Stability and synchronization of discrete-time Markovian jumping neural networks with mixed mode-dependent time delays. IEEE Trans. Neural Networks 2009, 20(7):1102-1116.
-
(2009)
IEEE Trans. Neural Networks
, vol.20
, Issue.7
, pp. 1102-1116
-
-
Liu, Y.-R.1
Wang, Z.-D.2
Liang, J.-L.3
-
38
-
-
67349167079
-
State estimation for coupled uncertain stochastic networks with missing measurements and time-varying delays: the discrete-time case
-
Liang J.-L., Wang Z.-D., Liu X.-H. State estimation for coupled uncertain stochastic networks with missing measurements and time-varying delays: the discrete-time case. IEEE Trans. Neural Networks 2009, 20(5):781-793.
-
(2009)
IEEE Trans. Neural Networks
, vol.20
, Issue.5
, pp. 781-793
-
-
Liang, J.-L.1
Wang, Z.-D.2
Liu, X.-H.3
|