Citation Relationships

Legends: Link to a Model Reference cited by multiple papers

Baram Y (2005) Learning by Kernel Polarization Neural Comput 17:1264-1275

References and models cited by this paper

References and models that cite this paper

Baram Y (1996) Classification by balanced representation Neurocomputing 13:347-357
Chapelle O, Vapnik V, Bousquet O, Mukherjee S (2002) Choosing multiple parameters for support vector machines Machine Learning 46:131-159
Cover TM, Hart PE (1967) Nearest neighbor pattern classification IEEE Trans Inform Theory 13:21-27
Cristianini N, Shawe-taylor J (2000) An introduction to support vector machines
Cristianini N, Shawe-taylor J, Elisseeff A, Kandola J (2001) On kernel-target alignment Advances in neural information processing systems, Dietterich T:Becker S:Ghahramani Z, ed. pp.367
Fukunaga K (1990) Introduction to statistical pattern recognition (2nd ed)
Haykin S (1999) Neural Networks: A Comprehensive Foundation (2nd Ed)
Herbrich R (2000) Learning linear classifiers Unpublished doctoral dissertation
Micchelli CA (1986) Algebraic aspects of interpolation Proceedings Of Symposia In Applied Mathematics 36:81-102
Parzen E (1962) On the estimation of a probability density function and mode Ann Math Stat 33:1064-1076
Platt JC, Burges CJC, Swenson S, Weare C, Zheng A (2002) Learning a gaussian process prior for automatically generating music playlists Advances in neural information processing systems, Becker S:Thrun S:Obermayer K, ed. pp.1425
ROSENBLATT F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65:386-408 [PubMed]
Scholkopf B, Smola AJ (2001) Learning with kernels: Support vector machines, regularization, optimization, and beyond
UCI (2003) Machine Learning Repository Available online:
Vapnik V (1995) The Nature of Statistical Learning Theory
Vapnik V, Chervonenkis A (1968) Uniform convergence of frequencies of occurrence of events to their probabilities Dokl Akad Nauk SSSR 181:915-918
Vapnik V, Lerner A (1963) Pattern recognition using generalized portrait method Automation And Remote Control 24:774-780
Vapnik VN, Chervonenkis AY (1971) On the uniform convergence of relative frequencies of events to their probabilities Theory Of Probability And Its Applications 16:264-280
Wang L, Chan KL (2002) Learning kernel parameters by using class separability measure Paper presented at the NIPS kernel workshop, Whistler, Canada
(19 refs)