-
2
-
-
0038453192
-
Rademacher and Gaussian complexities: Risk bounds and structural results
-
Bartlett, P., S. Mendelson. 2002. Rademacher and Gaussian complexities: Risk bounds and structural results. J. Machine Learn. Res. 3 463-482.
-
(2002)
J. Machine Learn. Res.
, vol.3
, pp. 463-482
-
-
Bartlett, P.1
Mendelson, S.2
-
3
-
-
84898958346
-
Semi-supervised support vector machines
-
Neural Information Processing Systems Foundation Boston, MA
-
Bennett, K. P., A. Dimiriz. 1998. Semi-supervised support vector machines. Proc. Neural Inform. Processing Systems. Neural Information Processing Systems Foundation, Boston, MA, 368-374.
-
(1998)
Proc. Neural Inform. Processing Systems
, pp. 368-374
-
-
Bennett, K.P.1
Dimiriz, A.2
-
4
-
-
34247479715
-
Classification and regression via integer optimization
-
DOI 10.1287/opre.1060.0360
-
Bertsimas, D., R. Shioda. 2007. Classification and regression via integer optimization. Oper. Res. 55 252-271. (Pubitemid 46663460)
-
(2007)
Operations Research
, vol.55
, Issue.2
, pp. 252-271
-
-
Bertsimas, D.1
Shioda, R.2
-
5
-
-
0346786584
-
Arcing classifiers
-
Breiman, L. 1998. Arcing classifiers. Ann. Statist. 26 801-824.
-
(1998)
Ann. Statist.
, vol.26
, pp. 801-824
-
-
Breiman, L.1
-
7
-
-
76649136507
-
Analysis of the consistency of a mixed integer programming-based multi-category constrained discriminant model
-
Brooks, J. P., E. K. Lee. 2010. Analysis of the consistency of a mixed integer programming-based multi-category constrained discriminant model. Ann. Oper. Res. 174(1) 147-168.
-
(2010)
Ann. Oper. Res
, vol.174
, Issue.1
, pp. 147-168
-
-
Brooks, J.P.1
Lee, E.K.2
-
8
-
-
79957439968
-
Discrete support vector machines
-
Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada
-
Brooks, J. P., R. Shioda, A. Spencer. 2007. Discrete support vector machines. Technical Report CandO Research Report: CORR 2007-12, Department of Combinatorics and Optimization, University of Waterloo, Waterloo, Ontario, Canada.
-
(2007)
Technical Report CandO Research Report: CORR 2007-12
-
-
Brooks, J.P.1
Shioda, R.2
Spencer, A.3
-
11
-
-
18244390064
-
On robustness properties of convex risk minimization methods for pattern recognition
-
Christmann, A., I. Steinwart. 2004. On robustness properties of convex risk minimization methods for pattern recognition. J. Machine Learn. Res. 5 1007-1034.
-
(2004)
J. Machine Learn. Res.
, vol.5
, pp. 1007-1034
-
-
Christmann, A.1
Steinwart, I.2
-
12
-
-
34250704272
-
Trading convexity for scalability
-
Princeton, NJ
-
Collobert, R., F. Sinz, J. Weston, L. Bottou. 2006. Trading convexity for scalability. Proc. 23rd Internat. Conf. Machine Learning. International Machine Learning Society, Princeton, NJ.
-
(2006)
Proc. 23rd Internat. Conf. Machine Learning. International Machine Learning Society
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
13
-
-
34249753618
-
Support-vector networks
-
Cortes, C., V. Vapnik. 1995. Support-vector networks. Machine Learning 20(3) 273-297.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
14
-
-
0014380444
-
Rates of convergence for nearest neighbor procedures
-
Honolulu
-
Cover, T. 1968. Rates of convergence for nearest neighbor procedures. Proc. Hawaii Internat. Conf. System Sci., Honolulu, 413-415.
-
(1968)
Proc. Hawaii Internat. Conf. System Sci.
, pp. 413-415
-
-
Cover, T.1
-
16
-
-
0003922190
-
-
Wiley, Hoboken, NJ
-
Duda, R. O., P. E. Hart, D. G. Stork. 2001. Pattern Classification. Wiley, Hoboken, NJ.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
17
-
-
0031501337
-
Constrained discriminant analysis via 0/1 mixed integer programming
-
Gallagher, R. J., E. K. Lee, D. A. Patterson. 1997. Constrained discriminant analysis via 0/1 mixed integer programming. Ann. Oper. Res. 74 65-88.
-
(1997)
Ann. Oper. Res.
, vol.74
, pp. 65-88
-
-
Gallagher, R.J.1
Lee, E.K.2
Patterson, D.A.3
-
19
-
-
0002714543
-
Making large-scale SVM learning practical
-
B. Schölkopf, C. Burges, A. Smola, eds, B. MIT Press, Cambridge, MA
-
Joachims, T. 1999. Making large-scale SVM learning practical. B. Schölkopf, C. Burges, A. Smola, eds. Advances in Kernel Methods-Support Vector Learning, B. MIT Press, Cambridge, MA.
-
(1999)
Advances in Kernel Methods-Support Vector Learning
-
-
Joachims, T.1
-
21
-
-
84985824432
-
Minimizing misclassifications in linear discriminant analysis
-
Koehler, G. J., S. S. Erenguc. 1990. Minimizing misclassifications in linear discriminant analysis. Decision Sci. 21 63-85.
-
(1990)
Decision Sci.
, vol.21
, pp. 63-85
-
-
Koehler, G.J.1
Erenguc, S.S.2
-
22
-
-
15944365213
-
Multicategory Ψ-Learning and support vector machine: Computational tools
-
DOI 10.1198/106186005X37238
-
Liu, Y., X. Shen, H. Doss. 2005. Multicategory .-learning and support vector machine: Computational tools. J. Comput. Graphical Statist. 14 219-236. (Pubitemid 40447834)
-
(2005)
Journal of Computational and Graphical Statistics
, vol.14
, Issue.1
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
23
-
-
0000963583
-
Linear and nonlinear separation of patterns by linear programming
-
Mangasarian, O. L. 1965. Linear and nonlinear separation of patterns by linear programming. Oper. Res. 13 444-452.
-
(1965)
Oper. Res.
, vol.13
, pp. 444-452
-
-
Mangasarian, O.L.1
-
24
-
-
84914951454
-
Multi-surface method of pattern separation
-
Mangasarian, O. L. 1968. Multi-surface method of pattern separation. IEEE Trans. Inform. Theory 14 801-807.
-
(1968)
IEEE Trans. Inform. Theory
, vol.14
, pp. 801-807
-
-
Mangasarian, O.L.1
-
25
-
-
0002039637
-
Cancer diagnosis via linear programming
-
Mangasarian, O. L., W. H. Wolberg. 1990. Cancer diagnosis via linear programming. SIAM News 23 1-18.
-
(1990)
SIAMi News
, vol.23
, pp. 1-18
-
-
Mangasarian, O.L.1
Wolberg, W.H.2
-
28
-
-
1642263475
-
Multivariate classification trees based on minimum features discrete support vector machines
-
Orsenigo, C., C. Vercellis. 2003. Multivariate classification trees based on minimum features discrete support vector machines. IMA J. Management Math. 14 221-234.
-
(2003)
IMA J. Management Math.
, vol.14
, pp. 221-234
-
-
Orsenigo, C.1
Vercellis, C.2
-
30
-
-
37249049442
-
Softening the margin in discrete SVM Lecture Notes Artificial Intelligence: Adv
-
Orsenigo, C., C. Vercellis. 2007b. Softening the margin in discrete SVM. Lecture Notes Artificial Intelligence: Adv. Data Mining 4597 49-62.
-
(2007)
Data Mining
, vol.4597
, pp. 49-62
-
-
Orsenigo, C.1
Vercellis, C.2
-
32
-
-
70149113077
-
-
R Development Core Team R Foundation for Statistical Computing, Vienna, Austria
-
R Development Core Team. 2009. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
-
(2009)
R: A Language and Environment for Statistical Computing
-
-
-
35
-
-
0242679446
-
On .-learning
-
Shen, X., G. C. Tseng, X. Zhang, W. H. Wong. 2003. On .-learning. J. Amer. Statist. Assoc. 98 724-734.
-
(2003)
J. Amer. Statist. Assoc.
, vol.98
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.H.4
-
36
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
Steinwart, I. 2001. On the influence of the kernel on the consistency of support vector machines. J. Machine Learn. Res. 2 67-93.
-
(2001)
J. Machine Learn. Res.
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
37
-
-
0036749277
-
Support vector machines are universally consistent
-
Steinwart, I. 2002. Support vector machines are universally consistent. J. Complexity 18 768-791.
-
(2002)
J. Complexity
, vol.18
, pp. 768-791
-
-
Steinwart, I.1
-
38
-
-
12444265838
-
Consistency of support vector machines and other regularized kernel classifiers
-
DOI 10.1109/TIT.2004.839514
-
Steinwart, I. 2005. Consistency of support vector machines and other regularized kernel classifiers. IEEE Trans. Inform. Theory 51 128-142. (Pubitemid 40145991)
-
(2005)
IEEE Transactions on Information Theory
, vol.51
, Issue.1
, pp. 128-142
-
-
Steinwart, I.1
-
42
-
-
33750691986
-
Robust support vector machine training via convex outlier ablation
-
Association for the Advancement of Artificial Intelligence, Menlo Park, CA
-
Xu, L., K. Crammer, D. Schuurmans. 2006. Robust support vector machine training via convex outlier ablation. Proc. National Conf. Artificial Intelligence (AAAI-06), Association for the Advancement of Artificial Intelligence, Menlo Park, CA.
-
(2006)
Proc. National Conf. Artificial Intelligence (AAAI-06)
-
-
Xu, L.1
Crammer, K.2
Schuurmans, D.3
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