Theoretical Advances in Neural Computation and Learning
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13

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5

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Published By Springer US

9781461361602, 9781461526964

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Connectivity Versus Capacity in the Hebb Rule

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_6 ◽

1994 ◽

pp. 173-240 ◽

Author(s):

Santosh S. Venkatesh

Keyword(s):

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Supervised Learning: Can it Escape its Local Minimum?

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_13 ◽

1994 ◽

pp. 449-461 ◽

Author(s):

Paul J. Werbos

Keyword(s):

Supervised Learning ◽

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LMS and Backpropagation are Minimax Filters

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_12 ◽

1994 ◽

pp. 425-447 ◽

Author(s):

Babak Hassibi ◽

Ali H. Sayed ◽

Thomas Kailath

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Neural Models and Spectral Methods

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_1 ◽

1994 ◽

pp. 3-36 ◽

Author(s):

Vwani Roychowdhury ◽

Kai-Yeung Siu ◽

Alon Orlitsky

Keyword(s):

Spectral Methods ◽

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Learning an Intersection of K Halfspaces Over a Uniform Distribution

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_9 ◽

1994 ◽

pp. 337-356 ◽

Author(s):

A. L. Blum ◽

R. Kannan

Keyword(s):

Uniform Distribution

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Depth-Efficient Threshold Circuits for Arithmetic Functions

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_2 ◽

1994 ◽

pp. 37-84 ◽

Author(s):

Thomas Hofmeister

Keyword(s):

Arithmetic Functions ◽

Threshold Circuits

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Perspectives of Current Research about the Complexity of Learning on Neural Nets

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_8 ◽

1994 ◽

pp. 295-336 ◽

Author(s):

Wolfgang Maass

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A Comparison of the Computational Power of Sigmoid and Boolean Threshold Circuits

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_4 ◽

1994 ◽

pp. 127-151 ◽

Author(s):

W. Maass ◽

G. Schnitger ◽

E. D. Sontag

Keyword(s):

Computational Power ◽

Threshold Circuits

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Communication Complexity and Lower Bounds for Threshold Circuits

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_3 ◽

1994 ◽

pp. 85-125 ◽

Author(s):

Mikael Goldmann

Keyword(s):

Lower Bounds ◽

Communication Complexity ◽

Threshold Circuits

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Learning Boolean Functions via the Fourier Transform

Theoretical Advances in Neural Computation and Learning ◽

10.1007/978-1-4615-2696-4_11 ◽

1994 ◽

pp. 391-424 ◽

Author(s):

Yishay Mansour

Keyword(s):

Fourier Transform ◽

Boolean Functions ◽

The Fourier Transform ◽

Learning Boolean Functions

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