Learning and generalization in higher-order perceptrons

References

• Barkai , E. , Hansel , D. and Kanter , I. 1990 . Phys. Rev. Lett. , 65 : 2312
   PubMed Web of Science ®Google Scholar
• Chang , C. and Cheung , J. Y. International Joint Conference on Neural Networks . Vol. III , pp. 511 – 516 . New York : IEEE .
   Google Scholar
• Cover , T. M. 1965 . IEEE Trans. electron. Compon. , 14 : 326
   Web of Science ®Google Scholar
• Gardner , E. 1988 . J. Phys. A , 21 : 257
   Google Scholar
• Giles , C. L. and Maxwell , T. 1987 . Appl. Optics , 26 : 4972
   PubMed Web of Science ®Google Scholar
• Kang , K. , Oh , J.-H. , Kwon , C. and Park , Y. 1993 . Phys. Rev. E , 48 : 4805
   Web of Science ®Google Scholar
• Kanter , I. 1987 . J. Phys. C , 20 : L257
   Google Scholar
• 1988 . Phys. Rev. A , 38 : 5972
   Web of Science ®Google Scholar
• Kohring , G. A. 1990 . J. Phys., Paris , 51 : 145
   Google Scholar
• Opper , M. and Kinzel , W. 1995 . Models of Neural Networks , Edited by: Hemmen , J. L. V. , Domany , E. and Schulten , K. 151 – 210 . Berlin : Springer .
   Google Scholar
• Opper , M. , Kinzel , W. , Kleinz , J. and Nehl , R. 1990 . J. Phys. A , 23 : L581
   Google Scholar
• Ring , M. 1994 . Advances in Neural Information Processing Systems , Vol. 6 , 115 – 122 . Denver , Colorado : Morgan Kaufmann .
   Google Scholar
• Rumelhart , D. E. , Hinton , G. E. and Williams , R. J. 1986 . Parallel Distributed Processing , Edited by: Rumelhart , D. E. and McClelland , J. L. Vol. 1 , 318 – 362 . Cambridge , Massachusetts : MIT Press . chapter 8, the PDP Research Group edited by
   Google Scholar
• Seung , H. S. , Sompolinsky , H. and Tishby , N. 1993 . Phys. Rev. A , 45 : 6056
   Web of Science ®Google Scholar
• Sompolinsky , H. , Tishby , N. and Seung , H. S. 1990 . Phys. Rev. Lett. , 65 : 1683
   PubMed Web of Science ®Google Scholar
• Vapnik , V. N. 1995 . The Nature of Statistical Learning Theory , New York : Springer .
   Google Scholar