Information Science and Statistics


Description

The fields of computer science, communications, probability and statistics have become increasingly intertwined. Two significant trends characterize this development: algorithmic issues arising throughout probability and statistics, and probabilistic methods playing increasingly important roles in the design and analysis of information systems.

This series will feature graduate textbooks and advanced monographs that involve the integration of algorithmic and probabilistic or statistical aspects. The series will include books on fundamental theoretical issues and more applied books that present new algorithms and architectures of general interest. Suitable topics include randomized algorithms and combinatorics, graphical models, machine learning, algorithmic game theory, source coding and error control coding, network information theory, simulation, rare events, distributed and robust optimization, networking, information retrieval, information management, speech processing, statistical natural language processing, computer vision, and robotics.

*图书按照出版时间,书名排序。

Cumulative Sum Charts and Charting for Quality Improvement,Douglas M. HawkinsDavid H. Olwell,1998
Feedforward Neural Network Methodology,Terrence L. Fine,1999

Feedforward Neural Network Methodology(1999).pdf
大小:(2.15 MB)

只需: 5 个论坛币  马上下载

Probabilistic Networks and Expert Systems,Robert G. CowellA. Philip DawidSteffen L. LauritzenDavid J. Spiegelhalter,1999

The Practice of Time Series Analysis,Hirotugu AkaikeGenshiro Kitagawa,1999


The Nature of Statistical Learning Theory,Vladimir N. Vapnik,2000
参见
Bayesian Networks and Decision Graphs,Finn V. Jensen,2001

Computer Intrusion Detection and Network Monitoring,David J. Marchette,2001

Sequential Monte Carlo Methods in Practice,Arnaud DoucetNando de FreitasNeil Gordon,2001
参见
The Cross-Entropy Method,Reuven Y. RubinsteinDirk P. Kroese,2004
参见
On Probabilistic Conditional Independence Structures,Michael JordanJon KleinbergBernhard SchölkopfFrank P. KellyIan Witten,2005
参见
Statistical and Inductive Inference by Minimum Message Length,C.S. Wallace,2005

Statistical and Inductive Inference By Minimum Message Length(2005).pdf
大小:(2.25 MB)

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Estimation of Dependences Based on Empirical Data,Vladimir Vapnik,2006
参见
Bayesian Networks and Decision Graphs,Finn V. JensenThomas D. Nielsen,2007
参见
Information and Complexity in Statistical Modeling,Jorma Rissanen,2007

Information and complexity in statistical modeling(2010).pdf
大小:(6.03 MB)

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Nonlinear Dimensionality Reduction,John A. LeeMichel Verleysen,2007


Bayesian Networks and Influence Diagrams,Uffe B. KjærulffAnders L. Madsen,2008

Support Vector Machines,Andreas ChristmannIngo Steinwart,2008
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Computational Methods in Biometric Authentication,Michael E. Schuckers,2010
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Information Theoretic Learning,Jose C. Principe,2010
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Statistical Image Processing and Multidimensional Modeling,Paul Fieguth,2011
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis,Uffe B. KjærulffAnders L. Madsen,2013
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