Information Science and Statistics grāmatas

Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint

David J. Marchette

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The Nature of Statistical Learning Theory

V. N. Vapnik

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Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks

David J. Spiegelhalter, Steffen L. Lauritzen, Philip Dawid, Robert G. Cowell

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Cumulative Sum Charts and Charting for Quality Improvement

Douglas M. Hawkins, David H. Olwell

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Sequential Monte Carlo Methods in Practice

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Estimation of Dependences Based on Empirical Data

V. Vapnik

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Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks

David J. Spiegelhalter, Steffen L. Lauritzen, Philip Dawid, Robert G. Cowell

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Support Vector Machines

Ingo Steinwart, Andreas Christmann

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The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

Dirk P. Kroese, Reuven Y. Rubinstein

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Statistical and Inductive Inference by Minimum Message Length

C. S. Wallace

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Bayesian Networks and Decision Graphs

Thomas Dyhre Nielsen, Finn Verner Jensen

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Sequential Monte Carlo Methods in Practice

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Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint

David J. Marchette

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Nonlinear Dimensionality Reduction

Michel Verleysen, John A. Lee

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Anders L. Madsen, Uffe B. Kjærulff

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Estimation of Dependences Based on Empirical Data

V. Vapnik

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Information and Complexity in Statistical Modeling

Jorma Rissanen

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The Nature of Statistical Learning Theory

Vladimir Vapnik

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Probabilistic Conditional Independence Structures

Milan Studeny

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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives

Jose C. Principe

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The Practice of Time Series Analysis

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Computational Methods in Biometric Authentication: Statistical Methods for Performance Evaluation

Michael E. Schuckers

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Anders L. Madsen, Uffe B. Kjærulff

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Statistical Image Processing and Multidimensional Modeling

Paul Fieguth

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Cumulative Sum Charts and Charting for Quality Improvement

David H. Olwell, Douglas M. Hawkins

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Feedforward Neural Network Methodology

Terrence L. Fine

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Support Vector Machines

Ingo Steinwart, Andreas Christmann

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Anders L. Madsen, Uffe B. Kjærulff

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