컨텐츠로 이동
Advances in intelligent signal processing and data mining : theory and applications 해당 항목을 미리보기
닫기해당 항목을 미리보기
확인중입니다…

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

저자: Petia Georgieva, (Lecturer in signal processing); Lyudmila Mihaylova; L C Jain
출판사: Berlin ; New York : Springer, ©2013.
시리즈: Studies in computational intelligence, 410.
판/형식:   전자도서 : 문서 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
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  더 읽기…
평가:

(아무런 평가가 없습니다.) 0 리뷰와 함께 - 첫번째로 올려주세요.

주제
다음과 같습니다:

 

온라인으로 문서 찾기

이 항목에 대한 링크

도서관에서 사본 찾기

&AllPage.SpinnerRetrieving; 해당항목을 보유하고 있는 도서관을 찾는 중

상세정보

장르/형태: Electronic books
자료 유형: 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Petia Georgieva, (Lecturer in signal processing); Lyudmila Mihaylova; L C Jain
ISBN: 9783642286964 3642286968 364228695X 9783642286957
OCLC 번호: 805127658
설명: 1 online resource.
내용: 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.
일련 제목: Studies in computational intelligence, 410.
책임: Petia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.).
더 많은 정보:

초록:

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  더 읽기…

리뷰

편집자의 리뷰

출판사 줄거리

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 더 읽기…

 
사용자-기여 리뷰
GoodReads 리뷰 가져오는 중…
DOGObooks 리뷰를 가지고 오는 중…

태그

첫번째 되기
요청하신 것을 확인하기

이 항목을 이미 요청하셨을 수도 있습니다. 만약 이 요청을 계속해서 진행하시려면 Ok을 선택하세요.

링크된 데이터


<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: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
<http://viaf.org/viaf/301289252>
rdf:typeschema:Person
schema:familyName"Georgieva"
schema:givenName"Petia"
schema:name"Georgieva, Petia (Lecturer in signal processing)"
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

윈도우 닫기

WorldCat에 로그인 하십시오 

계정이 없으세요? 아주 간단한 절차를 통하여 무료 계정을 만드실 수 있습니다.