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 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!
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M. Anthony
N. Biggs
| Computational Learning Theory [Google]
Cambridge University Press,
Cambridge,
1992. |
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. |
Jean-Yves Audibert
| PAC-Bayesian Statistical Learning Theory [Google]
Paris, France,
2004. |
Michael W. Berry
Murray Browne (eds)
| Lecture Notes in Data Mining [Google]
Singapore,
2006. |
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. |
Léon Bottou
Olivier Chapelle
Dennis DeCoste
Jason Weston
| Large-Scale Kernel Machines [Google]
MIT Press,
Cambridge, MA,
2007. |
Ulisses M. Braga-Neto
Edward R. Dougherty
| Error Estimation for Pattern Recognition [Google]
IEEE Press and Wiley,
Piscataway, NJ,
2015. |
L. Breiman
J. H. Friedman
R. A. Olshen
C. J. Stone
| Classification and Regression Trees [Google]
Wadsworth International,
Belmont, CA.,
1984. |
G.A. Carpenter
S. Grossberg (eds)
| Pattern Recognition by self-Organizing Neural Networks [Google]
MIT Press,
Cambrige,
1988. |
Nicolo Cesa-Bianchi
Gabor Lugosi
| Prediction, Learning, and Games [Google]
Cambridge University Press,
New York,
2006. |
D. Coomans
I. Broeckaert
| Potential Pattern Recognition in Chemical and Medical Decision Making [Google]
John Wiley,
New York,
1986. |
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. |
B.V. Dasarathy
| Nearest Neighbor Pattern Classification Techniques [Google]
IEEE Computer Society Press,
Los Alamitos, CA,
1991. |
Anirban DasGupta
| Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics [Google]
Springer,
New York,
2011. |
Isabelle De Macq
| Hyperrectangular Space Partitioning Trees [Google]
Louvain, Belgium,
2004. |
Li Deng
Dong Yu
| Deep Learning: Methods and Applications [Google]
Now,
Delft, The Netherlands,
2014. |
P.A. Devijver
J. Kittler
| Pattern Recognition: A Statistical Approach [Google]
Prentice-Hall,
London,
1982. |
Pierre A. Devijver
Josef Kittler (eds)
| Pattern Recognition Theory and Applications [Google]
Springer-Verlag,
Berlin,
1987. |
L. Devroye
L. Györfi
G. Lugosi
| A Probabilistic Theory of Pattern Recognition [Google]
Springer-Verlag,
New York,
1996. |
A.C. Downton
S. Impedovo (eds)
| Progress in Handwriting Recognition [Google]
World Scientific Publishing Co.,
Singapore,
1997. |
M. Dror
P. L'Ecuyer
F. Szidarovszky (eds)
| Modeling Uncertainty [Google]
Kluwer Academic Publishers,
Dordrecht, The Netherlands,
2002. |
R. O. Duda
P. E. Hart
| Pattern Classification and Scene Analysis [Google]
John Wiley,
New York,
1973. |
R. O. Duda
P. E. Hart
D. G. Stork
| Pattern Classification (2nd ed.) [Google]
John Wiley,
New York,
2001. |
R.P.W. Duin
| On the accuracy of statistical pattern recognizers [Google]
Dutch Efficiency Bureau,
Pijnacker, The Netherlands,
1978. |
Brendan J. Frey
| Graphical Models for Machine Learning and Digital Communication [Google]
MIT Press,
Cambridge, MA,
1998. |
K.S. Fu
| Syntactic Methods in Pattern Recognition [Google]
Academic Press,
New York,
1974. |
K.S. Fu
| Syntactic Pattern Recognition and Applications [Google]
Academic Press,
New York,
1982. |
Ian Goodfellow
Yoshua Bengio
Aaron Courville
| Deep Learning [Google]
MIT Press,
Cambridge, MA,
2016. |
L. Györfi (ed.)
| Principles of Nonparametric Learning [Google]
Springer-Verlag,
Wien,
2002. |
L. Györfi
M. Kohler
A. Krzyzak
H. Walk
| A Distribution-Free Theory of Conparametric Regression [Google]
Springer-Verlag,
New York,
2002. |
T. Hastie
R. Tibshirani
J. Friedman
| The Elements of Statistical Learning [Google]
Springer-Verlag,
New York,
2001. |
Trevor Hastie
Robert Tibshirani
Martin Wainwright
| Statistical Learning with Sparsity The Lasso and Generalizations [Google]
CRC Press,
Boca Raton, FL,
2015. |
Ralf Herbrich
| Learning Kernel Classifiers Theory and Algorithms [Google]
MIT Press,
Cambridge, MA,
2002. |
IEEE
| Proceedings of the Third International Joint Conference on Pattern Recognition [Google]
IEEE Computer Society,
Piscataway, NJ,
1976. |
IEEE
| Proceedings of the 1973 IEEE Conference on Decision and Control [Google]
IEEE,
New York,
1993. |
A.K. Jain
R.C. Dubes
| Algorithms for Clustering Data [Google]
Prentice Hall,
Englewood Cliffs, NJ,
1988. |
F. Jelinek
| Statistical Methods for Speech Recognition [Google]
MIT Press,
Cambridge, MA,
1998. |
Ludmila I. Kuncheva
| Combining Pattern Classifiers Methods and Algorithms [Google]
John Wiley,
New York,
2004. |
S.Y. Kung
| Kernel Methods and Machine Learning [Google]
Cambridge University Press,
Cambridge, UK,
2014. |
G. Lorette
| Proceedings of the 1996 French-Korean Workshop on Man-Machine Handwritten Communication [Google]
CNRS,
Paris,
1996. |
Gabor Lugosi
Hans Ulrich Simon (eds)
| Learning Theory 19th Annual Conference on Learning Theory COLT 2006 [Google]
Springer-Verlag,
Berlin,
2006. |
David J. Marchette
| Random Graphs for Statistical Pattern Recognition [Google]
John Wiley,
Hoboken, NJ,
2003. |
G.J. McLachlan
| Discriminant Analysis and Statistical Pattern Recognition [Google]
John Wiley,
New York,
1992. |
Mehryar Mohri
Afshin Rostamizadeh
Ameet Talwalkar
| Foundations of Machine Learning [Google]
MIT Press,
Cambridge, MA,
2012. |
M. Mozer
M. Jordan
T. Petsche (eds.)
| Neural Information Processing Systems [Google]
MIT Press,
Cambridge, MA,
1997. |
D.W. Murray
B.F. Buxton
| Experiments in the Machine Interpretation of Visual Motion [Google]
MIT Press,
Cambridge, MA,
1990. |
S.K. Pal
P.P. Wang (eds)
| Genetic Algorithms for Pattern Recognition [Google]
CRC Press,
Boca Raton, FL,
1996. |
R. Plamondon
C.Y. Suen
M.L. Simmer (eds)
| Computer Recognition and Human Production of Handwriting [Google]
World Scientific,
Singapore,
1989. |
Sarunas Raudys
| Statistical and Neural Classifiers [Google]
Springer-Verlag,
London,
2001. |
Robert E. Schapire
Yoav Freund
| Boosting Fondations and Algorithms [Google]
MIT Press,
Cambridge, MA,
2012. |
Robert E. Schapire
Yoav Freund
| Boosting Fondations and Algorithms (Paperback Edition) [Google]
MIT Press,
Cambridge, MA,
2014. |
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. |
A.J. Smola
P.L. Bartlett
B. Schölkopf
D. Schuurmans(eds)
| Advances in Large Margin Classifiers [Google]
MIT Press,
Cambridge, MA,
2000. |
Johan Suykens
Gábor Horváth
Sankar Bau
Charles Micchelli
Joos Vandewalle (eds)
| Advances in Learning Theory: Methods, Models and Applications [Google]
IOS Press,
Amsterdam,
2003. |
J.T. Tou
R.C. Gonzalez
| Pattern Recognition Principles [Google]
Addison-Wesley,
Reading, MA,
1974. |
Leslie Valiant
| Probably Approximately Correct [Google]
Basic Books,
New York,
2013. |
Leslie Valiant
| Probably Approximately Correct [Google]
Basic Books,
New York,
2013. |
V. N. Vapnik
| Estimation of Dependences Based on Empirical Data [Google]
Springer-Verlag,
New York,
1982. |
Vladimir Vapnik
| Statistical Learning Theory [Google]
John Wiley,
New York,
1998. |
Vladimir Vapnik
| Estimation of Dependences Based on Empirical Data [Google]
Springer Science and Business Media,
New York,
2006. |
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. |
D. Wolpert (ed)
| The Mathematics of Generalization: Proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning [Google]
Addison-Wesley,
Reading, MA,
1994. |
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