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Modeling the Internet and the Webprobabilistic methods and algorithms /
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Modeling the Internet and the Web/ Pierre Baldi, Paolo Frasconi, Padhraic Smyth.
其他題名:
probabilistic methods and algorithms /
作者:
Baldi, Pierre.
其他作者:
Frasconi, Paolo.
出版者:
Chichester, England ;Wiley,�003.
面頁冊數:
1 online resource (xix, 285 pages) :illustrations
標題:
Internet - Mathematical models. -
電子資源:
Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:
0470864923 (electronic bk.)
ISBN:
9780470864920 (electronic bk.)
ISBN:
0470849061 (alk. paper)
ISBN:
9780470849064 (alk. paper)
ISBN:
047086799X (electronic bk.)
ISBN:
9780470867990 (electronic bk.)
Modeling the Internet and the Webprobabilistic methods and algorithms /
Baldi, Pierre.
Modeling the Internet and the Web
probabilistic methods and algorithms /[electronic resource] :Pierre Baldi, Paolo Frasconi, Padhraic Smyth. - Chichester, England ;Wiley,�003. - 1 online resource (xix, 285 pages) :illustrations
Includes bibliographical references (pages 257-275) and index.
Mathematical Background --
Use copy
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2010.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
ISBN: 0470864923 (electronic bk.)
Standard No.: 10.1002/047086799XdoiSubjects--Topical Terms:
160401
Internet
--Mathematical models.Subjects--Index Terms:
Applied probability statistics - modelsIndex Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: TK5105.875.I57 / B35 2003eb
Dewey Class. No.: 004.67/8/015118
Modeling the Internet and the Webprobabilistic methods and algorithms /
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Probability and Learning from a Bayesian Perspective --
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Parameter Estimation from Data --
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Mixture Models and the Expectation Maximization Algorithm --
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Graphical Models --
$t
Bayesian networks --
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Belief propagation --
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Learning directed graphical models from data --
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Applications to Languages: Zipf's and Heaps' Laws --
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Origin of power-law distributions and Fermi's model --
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Basic WWW Technologies --
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Web Documents --
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SGML and HTML --
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Log Files --
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Internet and Web Graphs --
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Small-world networks --
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Power law of PageRank --
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The bow-tie structure --
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Generative Models for the Web Graph and Other Networks --
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Web page growth --
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Lattice perturbation models: between order and disorder --
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Preferential attachment models, or the rich get richer --
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Copy models --
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PageRank models --
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Applications --
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Subgraph patterns and communities --
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