Polynomial Bounds for VC Dimension of Sigmoidal and General Pfaffian Neural Networks

By Karpinski M.   Macintyre A.  

Journal of Computer and System Sciences, Vol. 54, Iss. 1, 1997-02 ,pp. : 169-176

Academic Press

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Sensing the third dimension in stereo vision systems: a cellular neural networks approach

By Zanela A.   Taraglio S.  

Engineering Applications of Artificial Intelligence, Vol. 11, Iss. 2, 1998-04 ,pp. : 203-213

Elsevier

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Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension

By Haussler D.  

Machine Learning, Vol. 14, Iss. 1, 1994-01 ,pp. : 83-113

Springer Publishing Company

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Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning

By Ben-David S.  

Machine Learning, Vol. 33, Iss. 1, 1998-10 ,pp. : 87-104

Springer Publishing Company

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On the VC-dimension of depth four threshold circuits and the complexity of Boolean-valued functions

By Sakurai A.  

Theoretical Computer Science, Vol. 137, Iss. 1, 1995-01 ,pp. : 109-127

Elsevier

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