Pattern Recognition and Machine Learning (Information Science and Statistics)
Author: Christopher M. Bishop
Manufacturer: Springer
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Author: Ian H. Witten
Manufacturer: Morgan Kaufmann
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
Manufacturer: Cambridge University Press
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Author: Andrew Gelman
Manufacturer: Chapman & Hall/CRC
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Author: Bernhard Schlkopf
Manufacturer: The MIT Press
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Lattice: Multivariate Data Visualization with R (Use R)
Author: Deepayan Sarkar
Manufacturer: Springer
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The Elements of Statistical Learning
Author: T. Hastie
Manufacturer: Springer
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Bayesian Computation with R (Use R)
Author: Jim Albert
Manufacturer: Springer
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
Author: David G. Stork
Manufacturer: Wiley-Interscience
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Data Analysis and Graphics Using R
Author: John Maindonald
Manufacturer: Cambridge University Press
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Monte Carlo Statistical Methods (Springer Texts in Statistics)
Author: Christian P. Robert
Manufacturer: Springer
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Pattern Classification (2nd Edition)
Author: Richard O. Duda
Manufacturer: Wiley-Interscience
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Author: Nello Cristianini
Manufacturer: Cambridge University Press
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An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)
Author: Bradley Efron
Manufacturer: Chapman & Hall/CRC
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Machine Learning
Author: Tom M. Mitchell
Manufacturer: McGraw-Hill Science/Engineering/Math
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Modern Applied Statistics with S
Author: W.N. Venables
Manufacturer: Springer
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Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)
Manufacturer: Wiley
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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Author: Ethem Alpaydin
Manufacturer: The MIT Press
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An Introduction to Neural Networks
Author: Kevin Gurney
Manufacturer: CRC
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Genetic Algorithms in Search, Optimization, and Machine Learning
Author: David E. Goldberg
Manufacturer: Addison-Wesley Professional
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Principles of Data Mining (Adaptive Computation and Machine Learning)
Author: David J. Hand
Manufacturer: The MIT Press
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Kernel Methods for Pattern Analysis
Author: John Shawe-Taylor
Manufacturer: Cambridge University Press
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Information Theory, Inference & Learning Algorithms
Author: David J. C. MacKay
Manufacturer: Cambridge University Press
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Neural Networks for Pattern Recognition
Author: Christopher M. Bishop
Manufacturer: Oxford University Press, USA
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Bootstrap Methods and Their Application (Cambridge Series in Statistical and Probabilistic Mathematics , No 1)
Author: A. C. Davison
Manufacturer: Cambridge University Press
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Practical Neural Network Recipes in C++
Author: Masters
Manufacturer: Morgan Kaufmann
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Pattern Recognition, Second Edition
Author: Sergios Theodoridis
Manufacturer: Academic Press
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Elements of Computational Statistics
Author: James E. Gentle
Manufacturer: Springer
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Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Author: Russell D. Reed
Manufacturer: The MIT Press
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Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)
Author: A. W. van der Vaart
Manufacturer: Cambridge University Press
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Statistical Learning Theory
Author: Vladimir N. Vapnik
Manufacturer: Wiley-Interscience
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Classification and Regression Trees
Author: Leo Breiman
Manufacturer: Chapman & Hall/CRC
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Netlab
Author: Ian T. Nabney
Manufacturer: Springer
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Markov Models for Pattern Recognition: From Theory to Applications
Author: Gernot A. Fink
Manufacturer: Springer
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Neural Networks: A Comprehensive Foundation (2nd Edition)
Author: Simon Haykin
Manufacturer: Prentice Hall
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Fundamentals of Neural Networks: Architectures, Algorithms And Applications (Pie)
Author: Laurene V. Fausett
Manufacturer: Prentice Hall
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Learning from Data: Concepts, Theory, and Methods
Author: Vladimir Cherkassky
Manufacturer: Wiley-IEEE Press
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Pattern Recognition, Third Edition
Author: Sergios Theodoridis
Manufacturer: Academic Press
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Multivariate Analysis (Probability and Mathematical Statistics) (Probability and Mathematical Statistics)
Author: Kanti V. Mardia
Manufacturer: Academic Press
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Spline Models for Observational Data (CBMS-NSF Regional Conference Series in Applied Mathematics)
Author: Grace Wahba
Manufacturer: SIAM: Society for Industrial and Applied Mathematics
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Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series)
Author: Keinosuke Fukunaga
Manufacturer: Academic Press
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Networks: Optimisation and Evolution (Cambridge Series in Statistical and Probabilistic Mathematics)
Author: Peter Whittle
Manufacturer: Cambridge University Press
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Pattern Recognition with Neural Networks in C++
Author: Abhijit S. Pandya
Manufacturer: CRC-Press
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