Neural networks books

Last update: Tue Apr 18 11:49:34 EDT 2017


Luc's library has now opened its web doors to all McGill University students. The library is in fact my office (room 300N, McConnell Engineering Building), and the books are a subset of my private collection. Any McGill student may borrow any book at any time!



Laurence Abbott
Terrence J. Sejnowski (eds)

Neural Codes and Distributed Representations Foundations of Neural Computation [Google]
MIT Press, Cambridge, MA, 1999.

J.A. Anderson
E. Rosenfeld (eds)

Neurocomputing: Foundations of Research [Google]
MIT Press, Cambrige, 1988.

M. Anthony
P.L. Bartlett

Neural Network Learning: Theoretical Foundations [Google]
Cambridge University Press, Cambridge, 1999.

M. Anthony

Discrete Mathematics of Neural Networks Selected Topics [Google]
SIAM, Philadelphia, 2001.

M. A. Arbib (ed.)

The Handbook of Brain Theory and Neural Networks [Google]
MIT Press, Cambridge, MA, 1998.

Christopher M. Bishop

Pattern Recognition and Machine Learning [Google]
Springer-Verlag, New York, 2006.

C.M. Bishop

Neural Networks for Pattern Recognition [Google]
Clarendon Press, Oxford, 1995.

C.M. Bishop

Neural Networks for Pattern Recognition [Google]
Clarendon Press, Oxford, 1995.

G.A. Carpenter
S. Grossberg (eds)

Pattern Recognition by self-Organizing Neural Networks [Google]
MIT Press, Cambrige, 1988.

A. Cichocki
R. Unbehauen

Neural Networks for Optimization and Signal Processing [Google]
John wiley, Chichester, 1993.

Eduardo Bayro Corrochano

Handbook of Geometric Computing [Google]
Springer-Verlag, Berlin, 2005.

N. Cristianini
J. Shawe-Taylor

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods [Google]
Cambridge University Press, Cambridge, UK, 2000.

Nelio Cristianini
John Shawe-Taylor

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods [Google]
Cambridge University Press, Cambridge, UK, 2000.

L. Devroye
L. Györfi
G. Lugosi

A Probabilistic Theory of Pattern Recognition [Google]
Springer-Verlag, New York, 1996.

Thomas G. Dietterich
Suzanna Becker
Zoubin Ghahramani (eds)

Neural Information Processing Systems 14 Volume 2 [Google]
MIT Press, Cambridge, MA, 2002.

Thomas G. Dietterich
Suzanna Becker
Zoubin Ghahramani (eds)

Neural Information Processing Systems 14 Volume 1 [Google]
MIT Press, Cambridge, MA, 2002.

D. Graupe

Principles of Artificial Neural Networks [Google]
World Scientific Publishing Co., Singapore, 1997.

Ralf Herbrich

Learning Kernel Classifiers Theory and Algorithms [Google]
MIT Press, Cambridge, MA, 2002.

J. Hertz
A. Krogh
R.G. Palmer

Introduction to the Theory of Neural Computation [Google]
Addison-Wesley, Redwood City, CA, 1991.

D. Husmeier

Neural Networks for Conditional Probability Estimation [Google]
Springer-Verlag, London, 1999.

Alan Hutchinson

Algorithmic Learning [Google]
Clarendon Press, Oxford, 1994.

Michael I. Jordan (ed)

Learning in Graphical Models [Google]
MIT Press, 1999.

P.U. Lima
G.N. Saridis

Design of Intelligent Control Systems based on Hierarchical Stochastic Automata [Google]
World Scientific Publishing Co., Singapore, 1996.

M. Mozer
M. Jordan
T. Petsche (eds.)

Neural Information Processing Systems [Google]
MIT Press, Cambridge, MA, 1997.

R.M. Neal

Bayesian Learning for Neural Networks [Google]
Springer-Verlag, New York, 1996.

R.M. Neal

Bayesian Learning for Neural Networks [Google]
Springer-Verlag, New York, 1996.

Sarunas Raudys

Statistical and Neural Classifiers [Google]
Springer-Verlag, London, 2001.

A.F. Rocha

Neural Nets [Google]
Springer-Verlag, Berlin, 1992.

Robert E. Schapire
Yoav Freund

Boosting Fondations and Algorithms [Google]
MIT Press, Cambridge, MA, 2012.

W.F. Schmidt

Neural Pattern Classifying Systems (Ph.D. dissertation) [Google]
Technical University of Delft, Delft, The Netherlands, 1994.

B. Schölkopf
C.J.C. Burges
A.J. Smola (eds)

Advances in Kernel Methods Support Vector Learning [Google]
MIT Press, Cambridge, MA, 1999.

Bernhard Schölkopf
Alexander J. Smola

Learning with Kernels [Google]
MIT Press, Cambridge, MA, 2002.

J. Schürmann

Pattern Classification: A Unified View of Statistical and Neural Approaches [Google]
John Wiley, New York, 1996.

I.K. Sethi
A.K. Jain (eds)

Artificial Neural Networks and Statistical Pattern Recognition [Google]
North Holland, Amsterdam, 1991.

J. Shawe-Taylor
N. Cristianini

Kernel Methods for Pattern Analysis [Google]
Cambridge University Press, Cambridge, UK, 2004.

D.M. Skapura

Building Neural Networks [Google]
ACM Press, New York, 1996.

A.J. Smola
P.L. Bartlett
B. Schölkopf
D. Schuurmans(eds)

Advances in Large Margin Classifiers [Google]
MIT Press, Cambridge, MA, 2000.

J.A.K. Suykens
J.P.L. Vandewalle
B.L.R. De Moor

Artificial Neural Networks for Modelling and Control of Non-Linear Systems [Google]
Kluwer Academic Publishers, Boston, 1996.

Johan Suykens
Gábor Horváth
Sankar Bau
Charles Micchelli
Joos Vandewalle (eds)

Advances in Learning Theory: Methods, Models and Applications [Google]
IOS Press, Amsterdam, 2003.

S. Thiria
Y. Lechevallier
O. Gascuel
S. Canu

Statistique et méthodes neuronales [Google]
Dunod, Paris, 1997.

V. Torre
J. Nicholls

Neural Circuits and Networks [Google]
Springer-Verlag, New York, 1998.

A.J.F. van Rooij
L.C. Jain
R.P. Johnson

Neural Network Training using Genetic Algorithms [Google]
World Scientific Publishing Co., Singapore, 1996.

Vladimir Vapnik

Statistical Learning Theory [Google]
John Wiley, New York, 1998.

V.N. Vapnik

The Nature of Statistical Learning Theory [Google]
Springer-Verlag, New York, 1995.

V.N. Vapnik

The Nature of Statistical Learning Theory (2nd ed) [Google]
Springer-Verlag, New York, 2000.

P. Whittle

Neural Nets and Chaotic Carriers [Google]
John Wiley, Chichester, 1998.

Kwok-Yee Michael Wong
Irwin King
Dit-Yan Yeung (eds)

Theoretical Aspects of Neural Computation [Google]
Springer-Verlag, Singapore, 1998.



Contact

Luc Devroye
School of Computer Science
McGill University
Montreal, Canada H3A 2K6
lucdevroye@gmail.com
http://cg.scs.carleton.ca/~luc