přejít na obsah
Advances in intelligent signal processing and data mining : theory and applications Náhled dokumentu
ZavřítNáhled dokumentu
Probíhá kontrola...

Advances in intelligent signal processing and data mining : theory and applications

Autor Petia Georgieva, (Lecturer in signal processing); Lyudmila Mihaylova; L C Jain
Vydavatel: Berlin ; New York : Springer, ©2013.
Edice: Studies in computational intelligence, 410.
Vydání/formát:   e-kniha : Document : EnglishZobrazit všechny vydání a formáty
Databáze:WorldCat
Shrnutí:
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural  Přečíst více...
Hodnocení:

(ještě nehodnoceno) 0 zobrazit recenze - Buďte první.

Předmětová hesla:
Více podobných

 

Najít online exemplář

Odkazy na tento dokument

Vyhledat exemplář v knihovně

&AllPage.SpinnerRetrieving; Vyhledávání knihoven, které vlastní tento dokument...

Detaily

Žánr/forma: Electronic books
Typ materiálu: Document, Internetový zdroj
Typ dokumentu: Internet Resource, Computer File
Všichni autoři/tvůrci: Petia Georgieva, (Lecturer in signal processing); Lyudmila Mihaylova; L C Jain
ISBN: 9783642286964 3642286968 364228695X 9783642286957
OCLC číslo: 805127658
Popis: 1 online resource.
Obsahy: Introduction to Intelligent Signal Processing and Data Mining / Lyudmila Mihaylova, Petia Georgieva and Lakhmi C. Jain --
Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning / Avishy Y. Carmi, Lyudmila Mihaylova, Amadou Gning, Pini Gurfil and Simon J. Godsill --
A Sequential Monte Carlo Method for Multi-target Tracking with the Intensity Filter / Marek Schikora, Wolfgang Koch, Roy Streit and Daniel Cremers --
Sequential Monte Carlo Methods for Localization in Wireless Networks / Lyudmila Mihaylova, Donka Angelova and Anna Zvikhachevskaya --
A Sequential Monte Carlo Approach for Brain Source Localization / Petia Georgieva, Lyudmila Mihaylova, Filipe Silva, Mariofanna Milanova and Nuno Figueiredo, et al. --
Computational Intelligence in Automotive Applications / Yifei Wang, Naim Dahnoun and Alin Achim --
Detecting Anomalies in Sensor Signals Using Database Technology / Gereon Schüller, Andreas Behrend and Wolfgang Koch --
Hierarchical Clustering for Large Data Sets / Mark J. Embrechts, Christopher J. Gatti, Jonathan Linton and Badrinath Roysam --
A Novel Framework for Object Recognition under Severe Occlusion / Stamatia Giannarou and Tania Stathaki --
Historical Consistent Neural Networks: New Perspectives on Market Modeling, Forecasting and Risk Analysis / Hans-Georg Zimmermann, Christoph Tietz and Ralph Grothmann --
Reinforcement Learning with Neural Networks: Tricks of the Trade / Christopher J. Gatti and Mark J. Embrechts --
Sliding Empirical Mode Decomposition-Brain Status Data Analysis and Modeling / A. Zeiler, R. Faltermeier, A. M. Tomé, I. R. Keck and C. Puntonet, et al.
Název edice: Studies in computational intelligence, 410.
Odpovědnost: Petia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.).
Více informací:

Anotace:

With contributions from leading experts in the field, this volume presents the most efficient statistical and deterministic methods for information processing and applications that allow the  Přečíst více...

Recenze

Recenze redakce

Souhrn od vydavatele

From the reviews: "This book is well structured and provides good coverage of several state-of-the-art approaches to intelligent signal processing and data mining. ... chapters contain examples and Přečíst více...

 
Recenze vložené uživatelem
Nahrávání recenzí GoodReads...
Přebírání recenzí DOGO books...

Štítky

Buďte první.
Potvrdit tento požadavek

Tento dokument jste si již vyžádali. Prosím vyberte Ok pokud chcete přesto v žádance pokračovat.

Propojená data


<http://www.worldcat.org/oclc/805127658>
library:oclcnum"805127658"
library:placeOfPublication
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
rdf:typeschema:MediaObject
rdf:valueUnknown value: dct
schema:about
<http://id.worldcat.org/fast/1118288>
rdf:typeschema:Intangible
schema:name"Signal processing--Digital techniques--Data processing"
schema:name"Signal processing--Digital techniques--Data processing."
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
<http://id.loc.gov/authorities/subjects/sh2010113085>
rdf:typeschema:Intangible
schema:name"Signal processing--Digital techniques--Data processing."
schema:bookFormatschema:EBook
schema:contributor
schema:contributor
schema:contributor
schema:copyrightYear"2013"
schema:datePublished"2013"
schema:description"The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms."
schema:exampleOfWork<http://worldcat.org/entity/work/id/1149580320>
schema:genre"Electronic books"
schema:inLanguage"en"
schema:isPartOf
schema:name"Advances in intelligent signal processing and data mining theory and applications"
schema:publication
schema:publisher
schema:url<http://dx.doi.org/10.1007/978-3-642-28696-4>
schema:url<http://site.ebrary.com/id/10656389>
schema:workExample
schema:workExample
wdrs:describedby

Content-negotiable representations

Zavřít okno

Prosím přihlaste se do WorldCat 

Nemáte účet? Můžete si jednoduše vytvořit bezplatný účet.