- JOACHIMS, T., 1997. Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Springer. [Cited by 2277] (216.02/year)
- CRISTIANINI, N. and J. SHAWE-TAYLOR, 2000. An introduction to Support Vector Machines. [Cited by 1509] (200.11/year)
- CORTES, C. and V. VAPNIK, 1995. Support-vector networks.
*Machine Learning.*[Cited by 2683] (213.94/year) - BURGES, C.J.C., 1998. A Tutorial on Support Vector Machines for Pattern Recognition.
*Data Mining and Knowledge Discovery.*[Cited by 3793] (397.56/year) - SCHOLKOPF, B. and A.J. SMOLA, 2001. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press Cambridge, MA, USA. [Cited by 1824] (278.87/year)
- JOACHIMS, T., 1999. 11 Making Large-Scale Support Vector Machine Learning Practical.
*Advances in Kernel Methods: Support Vector Learning.*[Cited by 1522] (178.20/year) - BROWN, M.P.S.,
*et al.*, 2000. Knowledge-based analysis of microarray gene expression data by using support vector machines.*Proceedings of the National Academy of Sciences.*[Cited by 1134] (150.38/year) - CHANG, C.C. and C.J. LIN, 2001. LIBSVM: a library for support vector machines.
*Software available at http://www. csie. ntu. edu. tw/cjlin/ ….*[Cited by 1623] (248.14/year) - PLATT, J.C., 1999. 12 Fast Training of Support Vector Machines Using Sequential Minimal Optimization.
*Advances in Kernel Methods: Support Vector Learning.*[Cited by 1442] (168.84/year) - OSUNA, E., R. FREUND and F. GIROSI…, 1997. Training support vector machines: an application to face detection.
*Proceedings of the IEEE Conference on Computer Vision and ….*[Cited by 1104] (104.74/year) - CRISTIANINI, N. and J. SHAWE-TAYLOR, 2000. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. books.google.com. [Cited by 2354] (312.17/year)
- FUREY, T.S.,
*et al.*, 2000. Support vector machine classification and validation of cancer tissue samples using microarray ….*Bioinformatics.*[Cited by 703] (93.23/year) - SUYKENS, J.A.K. and J. VANDEWALLE, 1999. Least Squares Support Vector Machine Classifiers.
*Neural Processing Letters.*[Cited by 613] (71.77/year) - HSU, C.W. and C.J. LIN, 2002. A comparison of methods for multiclass support vector machines.
*Neural Networks, IEEE Transactions on.*[Cited by 858] (154.85/year) - OSUNA, E., R. FREUND and F. GIROSI, An improved training algorithm for support vector machines.
*ieeexplore.ieee.org.*[Cited by 512] (?/year) - JOACHIMS, T., 1999. Making large-scale support vector machine learning practical.
*Advances in kernel methods: support vector learning table of ….*[Cited by 423] (49.53/year) - JOACHIMS, T., 1999. Transductive inference for text classification using support vector machines.
*Proceedings of the Sixteenth International Conference on ….*[Cited by 580] (67.91/year) - SMOLA, A.J. and B. SCHöLKOPF, 2004. A tutorial on support vector regression.
*Statistics and Computing.*[Cited by 811] (229.05/year) - GUYON, I.,
*et al.*, 2002. Gene Selection for Cancer Classification using Support Vector Machines.*Machine Learning.*[Cited by 793] (143.12/year) - PLATT, J., 1999. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods.
*Advances in Large Margin Classifiers.*[Cited by 559] (65.45/year) - VAPNIK, V., S.E. GOLOWICH and A. SMOLA, 1997. Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing.
*Advances in Neural Information Processing Systems 9.*[Cited by 448] (42.50/year) - WESTON, J. and C. WATKINS, 1999. Multi-class support vector machines.
*Proceedings ESANN, Brussels.*[Cited by 380] (44.49/year) - PLATT, J., 1999. Sequential minimal optimization: A fast algorithm for training support vector machines.
*Advances in Kernel Methods-Support Vector Learning.*[Cited by 464] (54.33/year) - GUNN, S.R., 1998. Support Vector Machines for Classification and Regression.
*ISIS Technical Report.*[Cited by 518] (54.29/year) - SCHöLKOPF, B., C.J.C. BURGES and A.J. SMOLA, 1999. Advances in Kernel Methods: Support Vector Learning. books.google.com. [Cited by 173] (20.26/year)
- SCHöLKOPF, B. and A.J. SMOLA, 2002. Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. books.google.com. [Cited by 786] (141.86/year)
- CHAPELLE, O.,
*et al.*, 2002. Choosing Multiple Parameters for Support Vector Machines.*Machine Learning.*[Cited by 453] (81.76/year) - SCHOLKOPF, B.,
*et al.*, 2000. New Support Vector Algorithms.*Neural Computation.*[Cited by 452] (59.94/year) - SUYKENS, J.A.K., 2002. Least Squares Support Vector Machines. books.google.com. [Cited by 519] (93.67/year)
- SCHOLKOPF, B.,
*et al.*, 1997. Comparing support vector machines with Gaussian kernels to radialbasis function classifiers.*Signal Processing, IEEE Transactions on [see also Acoustics, ….*[Cited by 385] (36.52/year) - SCHöLKOPF, B., 1997. Support Vector Learning. R. Oldenbourg Verlag. [Cited by 333] (31.59/year)
- SCHOLKOPF, B., C.J.C. BURGES and A.J. SMOLA…, 1999. Advances in Kernel Methods: Support Vector Learning. [Cited by 435] (50.93/year)
- DRUCKER, H., D. WU and V.N. VAPNIK, 1999. Support Vector Machines for Spam Categorization.
*IEEE TRANSACTIONS ON NEURAL NETWORKS.*[Cited by 331] (38.76/year) - COLLOBERT, R. and S. BENGIO, 2001. SVMTorch: Support Vector Machines for Large-Scale Regression Problems.
*Journal of Machine Learning Research.*[Cited by 355] (54.27/year) - EVGENIOU, T., M. PONTIL and T. POGGIO, 2000. 10 Regularization Networks and Support Vector Machines.
*Advances in Large-Margin Classifiers.*[Cited by 417] (55.30/year) - HUA, S. and Z. SUN, 2001. Support vector machine approach for protein subcellular localization prediction.
*Bioinformatics.*[Cited by 329] (50.30/year) - TONG, S. and E. CHANG, 2001. Support vector machine active learning for image retrieval.
*Proceedings of the ninth ACM international conference on ….*[Cited by 353] (53.97/year) - PONTIL, M. and A. VERRI, 1998. Support vector machines for 3 D object recognition.
*IEEE Transactions on Pattern Analysis and Machine ….*[Cited by 327] (34.27/year) - JOACHIMS, T., 2002. Learning to Classify Text Using Support Vector Machines. books.google.com. [Cited by 460] (83.02/year)
- CHAPELLE, O., P. HAFFNER and V.N. VAPNIK, 1999. Support vector machines for histogram-based image classification.
*Neural Networks, IEEE Transactions on.*[Cited by 323] (37.82/year) - OSUNA, E., R. FREUND and F. GIROSI, 1997. Support Vector Machines: Training and Applications. [Cited by 330] (31.31/year)
- MULLER, K.R.,
*et al.*, 1997. Predicting time series with support vector machines.*Proceedings of the International Conference on Artificial ….*[Cited by 242] (22.96/year) - BURGES, C.J.C. and B. SCHOLKOPF, 1997. Improving the Accuracy and Speed of Support Vector Machines.
*Advances in Neural Information Processing Systems 9.*[Cited by 221] (20.97/year) - DRUCKER, H.,
*et al.*, 1997. Support Vector Regression Machines.*Advances in Neural Information Processing Systems 9.*[Cited by 228] (21.63/year) - CAUWENBERGHS, G.,
*et al.*, 2001. Incremental and Decremental Support Vector Machine Learning.*Advances in Neural Information Processing Systems 13.*[Cited by 200] (30.58/year) - BEN-HUR, A.,
*et al.*, 2001. Support vector clustering.*Journal of Machine Learning Research.*[Cited by 272] (41.59/year) - TONG, S. and D. KOLLER, 2002. Support vector machine active learning with applications to text classification.
*The Journal of Machine Learning Research.*[Cited by 329] (59.38/year) - BURGES, C.J.C., 1996. Simplified support vector decision rules.
*Proceedings of the 13th International Conference on Machine ….*[Cited by 249] (21.58/year) - GIROSI, F., 1998. An Equivalence Between Sparse Approximation And Support Vector Machines.
*Neural Computation.*[Cited by 308] (32.28/year) - SYED, N., H. LIU and K.K. SUNG, 1999. Incremental learning with support vector machines.
*… of the Workshop on Support Vector Machines at the ….*[Cited by 127] (14.87/year) - BRADLEY, P.S. and O.L. MANGASARIAN, 1998. Feature selection via concave minimization and support vector machines.
*Machine Learning Proceedings of the Fifteenth International ….*[Cited by 212] (22.22/year) - WESTON, J. and C. WATKINS, 1999. Support vector machines for multi-class pattern recognition.
*Proceedings of the Seventh European Symposium On Artificial ….*[Cited by 170] (19.90/year) - HSU, C.W., C.C. CHANG and C.J. LIN…, 2003. A practical guide to support vector classification.
*National Taiwan University, Tech. Rep., July.*[Cited by 258] (56.82/year) - BENNETT, K. and A. DEMIRIZ, 1998. Semi-supervised support vector machines.
*Advances in Neural Information Processing Systems.*[Cited by 181] (18.97/year) - KUDO, T. and Y. MATSUMOTO, 2001. Chunking with support vector machines.
*North American Chapter Of The Association For Computational ….*[Cited by 233] (35.62/year) - DING, C.H.Q. and I. DUBCHAK, 2001. Multi-class protein fold recognition using support vector machines and neural networks.
*Bioinformatics.*[Cited by 265] (40.52/year) - CORTES, C. and V. VAPNIK, 1995. Support-vector network.
*Machine Learning.*[Cited by 312] (24.88/year) - ZIEN, A.,
*et al.*, 2000. Engineering support vector machine kernels that recognize translation initiation sites.*Bioinformatics.*[Cited by 235] (31.16/year) - WAHBA, G., 1999. 6 Support Vector Machines, Reproducing Kernel Hubert Spaces, and Randomized GACV.
*Advances in Kernel Methods: Support Vector Learning.*[Cited by 212] (24.82/year) - SMOLA, A.J., B. SCHöLKOPF and K.R. MüLLER, 1998. The connection between regularization operators and support vector kernels.
*Neural Networks.*[Cited by 222] (23.27/year) - AMARI, S. and S. WU, 1999. Improving support vector machine classifiers by modifying kernel functions.
*Neural Networks.*[Cited by 170] (19.90/year) - TAX, D.M.J. and R.P.W. DUIN, 1999. Support vector domain description.
*Pattern Recognition Letters.*[Cited by 201] (23.53/year) - HEARST, M.A.,
*et al.*, 1998. Support vector machines.*IEEE Intelligent Systems.*[Cited by 212] (22.22/year) - HUA, S. and Z. SUN, 2001. … method of protein secondary structure prediction with high segment overlap measure: support vector ….
*Journal of Molecular Biology.*[Cited by 213] (32.56/year) - LEE, Y.J. and O.L. MANGASARIAN, 2001. RSVM: Reduced support vector machines.
*Proceedings of the First SIAM International Conference on ….*[Cited by 199] (30.42/year) - FRIE, T.T., N. CRISTIANINI and C. CAMPBELL, Proc. ICML. The kernel adatron algorithm: A fast and simple learning procedure for support vector machines.,". [Cited by 171] (?/year)
- SCHOLKOPF, B., C. BURGES and V. VAPNIK, 1996. Incorporating invariances in support vector learning machines.
*Artificial Neural Networks| ICANN.*[Cited by 127] (11.00/year) - SCHOHN, G. and D. COHN, 2000. Less is more: Active learning with support vector machines.
*Proceedings of the Seventeenth International Conference on ….*[Cited by 160] (21.22/year) - PLATT, J.C., 1999. … support vector machines using sequential minimal optimization, Advances in kernel methods: support …. [Cited by 181] (21.19/year)
- KREβEL…, U., 1999. Pairwise classification and support vector machines.
*Advances in Kernel Methods: Support Vector Learning.*[Cited by 171] (20.02/year) - MANGASARIAN, O.L. and D.R. MUSICANT, 1999. Successive overrelaxation for support vector machines.
*Neural Networks, IEEE Transactions on.*[Cited by 164] (19.20/year) - CHAPELLE, O. and V. VAPNIK, 1999. Model selection for support vector machines.
*Advances in Neural Information Processing Systems.*[Cited by 135] (15.81/year) - JI, K.,
*et al.*, 2002. Tuning support vector machines for biomedical named entity recognition.*Association for Computation Linguistics Workshop on Natural ….*[Cited by 111] (20.03/year) - KUDOH, T. and Y. MATSUMOTO, 2000. Use of support vector learning for chunk identification.
*Proceedings of the 2nd workshop on Learning language in ….*[Cited by 122] (16.18/year) - FUNG, G.M. and O.L. MANGASARIAN, 2005. Multicategory Proximal Support Vector Machine Classifiers.
*Machine Learning.*[Cited by 178] (70.06/year) - SUYKENS, J.A.K.,
*et al.*, 2002. Weighted least squares support vector machines: robustness and sparse approximation.*Neurocomputing.*[Cited by 164] (29.60/year) - SCHOLKOPF, B.,
*et al.*, 1998. Prior knowledge in support vector kernels.*Advances in Neural Information Processing Systems.*[Cited by 149] (15.62/year) - MANGASARIAN, O.L., 2000. 8 Generalized Support Vector Machines.
*Advances in Large-Margin Classifiers.*[Cited by 139] (18.43/year) - MANGASARIAN, O.L. and D.R. MUSICANT, 2001. Lagrangian Support Vector Machines.
*Journal of Machine Learning Research.*[Cited by 164] (25.07/year) - BURBIDGE, R.,
*et al.*, 2001. Drug design by machine learning: support vector machines for pharmaceutical data analysis.*Computers and Chemistry.*[Cited by 166] (25.38/year) - MUKHERJEE, S.,
*et al.*, 1999. Support vector machine classification of microarray data.*CBCL Paper.*[Cited by 107] (12.53/year) - KEERTHI, S.S.,
*et al.*, 2000. A fast iterative nearest point algorithm for support vector machineclassifier design.*Neural Networks, IEEE Transactions on.*[Cited by 166] (22.01/year) - KEERTHI, S.S. and C.J. LIN, 2003. Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel.
*Neural Computation.*[Cited by 180] (39.64/year) - HEISELE, B., P. HO and T. POGGIO, Proc. 8th International Conference on Computer Vision. Face recognition with support vector machines: Global versus component-based approach. [Cited by 146] (?/year)
- GUO, G., S.Z. LI and K. CHAN, 2001. Face recognition by support vector machines.
*Image and Vision Computing.*[Cited by 133] (20.33/year) - TSOCHANTARIDIS, I.,
*et al.*, 2004. Support vector machine learning for interdependent and structured output spaces.*ACM International Conference Proceeding Series.*[Cited by 158] (44.62/year) - CRISTIANINI, N. and J. SHAWE-TAYLOR, 2000. Support Vector Machines. [Cited by 128] (16.97/year)
- VAPNIK, V. and O. CHAPELLE, 2000. Bounds on Error Expectation for Support Vector Machines.
*Neural Computation.*[Cited by 131] (17.37/year) - BARTLETT, P. and J. SHAWE-TAYLOR, 1999. Generalization Performance of Support Vector Machines and Other Pattern Classifiers.
*Advances in Kernel Methods: Support Vector Learning.*[Cited by 126] (14.75/year) - SCHOLKOPF, B. and A.J. SMOLA, 2002. Learning with Kernels: Support Vector Machines, Regularization.
*Optimization, and Beyond. MIT Press.*[Cited by 185] (33.39/year) - SCHOLKOPF, B., C. BURGES and V. VAPNIK, 1995. Extracting Support Data for a Given Task.
*Knowledge Discovery and Data Mining.*[Cited by 298] (23.76/year) - DECOSTE, D. and B. SCHöLKOPF, 2002. Training Invariant Support Vector Machines.
*Machine Learning.*[Cited by 159] (28.70/year) - ALTUN, Y., I. TSOCHANTARIDIS and T. HOFMANN, 2003. Hidden markov support vector machines.
*Proc. ICML.*[Cited by 136] (29.95/year) - WAHBA, G., Y. LIN and H. ZHANG, 2000. Generalized approximate cross validation for support vector machines.
*Advances in Large Margin Classifiers.*[Cited by 65] (8.62/year) - PHILLIPS, P.J., 1999. Support vector machines applied to face recognition - all 4 versions ». MIT Press Cambridge, MA, USA. [Cited by 121] (14.17/year)
- LEE, Y.J. and O.L. MANGASARIAN, 2001. SSVM: A Smooth Support Vector Machine for Classification.
*Computational Optimization and Applications.*[Cited by 133] (20.33/year) - KARCHIN, R., K. KARPLUS and D. HAUSSLER, 2002. Classifying G-protein coupled receptors with support vector machines.
*Bioinformatics.*[Cited by 146] (26.35/year) - CHANG, C.C. and C.J. LIN, 2001. Training ?-Support Vector Classifiers: Theory and Algorithms.
*Neural Computation.*[Cited by 133] (20.33/year) - SUYKENS, J.A.K., L. LUKAS and J. VANDEWALLE, 2000. Sparse approximation using least squares support vector machines.
*Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. ….*[Cited by 82] (10.87/year) - LIN, C.F. and S.D. WANG, 2002. Fuzzy support vector machines.
*IEEE Transactions on Neural Networks.*[Cited by 118] (21.30/year)