Next: About this document
Up: MPhil. in Computer
Previous: Conclusion and Further Work
References
- Boser et al., 1992
-
Boser, B. E., Guyon, I. M., and Vapnik, V. (1992).
A training algorithm for optimum margin classifiers.
In Fifth Annual Workshop on Computational Learning Theory,
Pittsburgh. ACM.
- Bradley and Terry, 1952
-
Bradley, R. and Terry, M. (1952).
The rank analysis of incomplete blcok designs. i. the method of
paired comparisions.
Biometrics.
- Burges and Vapnik, 1995
-
Burges, C. and Vapnik, V. (1995).
A new method for constructing artificial neural networks.
Technical report, AT&T, Bell Laboratories, NJ.
- Burges, 1998
-
Burges, C. J. C. (1998).
A Tutorial on Support Vector Machines for Pattern Recognition.
Kluwer Academic Publishers, Boston.
- Cheng and Higham, 1998
-
Cheng, S. H. and Higham, N. J. (1998).
A modified cholesky algorithm based on a symmetric indefinite
factorization.
SIAM Journal on Matrix Analysis and Applications,
19(4):1097-1110.
- Cortes and Vapnik, 1995
-
Cortes, C. and Vapnik, V. (1995).
Support vector networks.
Machine Learning, 20:1-25.
- Fletcher, 1990
-
Fletcher, R. (1990).
Practical Methods of Optimization.
Wiley & Sons, Chichester, UK.
- Friedman, 1996
-
Friedman, J. (1996).
Another approach to polychotomous classification.
Technical report, Stanford University.
- Gill et al., 1991
-
Gill, P. E., Murray, W., and Wright, M. H. (1991).
Numerical Linear Algebra and Optimization, Vol.1.
Addison Wesley.
- Hastie and Tibshirani, 1996
-
Hastie, T. and Tibshirani, R. (1996).
Classification by pairwise coupling.
Technical report, Stanford University and University of Toronto.
- Joachims, 1997
-
Joachims, T. (1997).
Svm light: Implementation of the decomposition training algorithm.
Bell Lab. Lucent Technologies.
- More and Toraldo, 1991a
-
More, J. and Toraldo, G. (1991a).
On the solution of large qp problems with bound constraints.
SIAM J. Optimization.
- More and Toraldo, 1991b
-
More, J. J. and Toraldo, g. (1991b).
On the solution of large quadratic programming problems with bound
constrints.
SIAM J. Optimization.
- Osuna et al., 1997a
-
Osuna, E., Freund, R., and Girosi, F. (1997a).
An improved training algorithm for support vector machines.
In Proc. of IEEE NNSP'97.
- Osuna et al., 1997b
-
Osuna, E. E., Freund, R., and Girosi, F. (1997b).
Support vector machines: Training and applications.
Technical report, MIT AI Lab. CBCL.
- Schmidt and Gish, 1996
-
Schmidt, M. and Gish, H. (1996).
Speaker identification via support vector classifiers.
ICASSP, 1:105-108.
- Smith, 1998
-
Smith, N. D. (1998).
Support vector machines applied to speech pattern classification.
Master's thesis, Cambridge University, Dept. of Engineering.
- Spellucci, 1996a
-
Spellucci, P. (1996a).
A new technique for inconsistent qp probelms in the sqp method.
Technical report, Dept. of Mathematics, Technical University at
Darmstadt.
- Spellucci, 1996b
-
Spellucci, P. (1996b).
A sqp method for general nonlinear programs using only equality
constrained subproblems.
Technical report, Dept. of Mathematics, Technical University at
Darmstadt.
- Vanderbei, 1994a
-
Vanderbei, R. J. (1994a).
Loqo: An interior point code for quadratic programming.
Technical report, Pragram in Statistics & Operations Research,
Princeto9n University.
- Vanderbei, 1994b
-
Vanderbei, R. J. (1994b).
Symmetric quasi-definite matrices.
SIAM J. Optimization.
- Vapnik, 1995
-
Vapnik, V. (1995).
The Nature of Statistical Learning Theory, chapter 5.
Springer-Verlag, New York.
- Weston and Watkins, 1998
-
Weston, J. and Watkins, C. (1998).
Multi-class support vector machines.
Technical Report CSD-TR-98-04, Dept. of Computer Science, Royal
Holloway, University of London, Egham, Surrey TW20 0EX, England.
K.K. Chin
Thu Sep 10 11:05:30 BST 1998