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A New Design of Multiple Classifier System and Its Application to Classification of Time Series Data

A New Design of Multiple Classifier System and Its Application to Classification of Time Series Data PDF Author: Lei Chen
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Languages : en
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A New Design of Multiple Classifier System and Its Application to Classification of Time Series Data

A New Design of Multiple Classifier System and Its Application to Classification of Time Series Data PDF Author: Lei Chen
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Nikunj C. Oza
Publisher: Springer
ISBN: 3540315780
Category : Computers
Languages : en
Pages : 432

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Book Description
Following its five predecessors published by Springer, this volume contains the proceedings of the 6th International Workshop on Multiple Classifier Systems (MCS 2005) held at the Embassy Suites in Seaside, California, USA, June 13 –15, 2005.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: International Workshop on Multiple Classifier Systems (5 : 2004 : Cagliari)
Publisher: Springer Science & Business Media
ISBN: 3540221441
Category : Computers
Languages : en
Pages : 386

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Book Description
This book constitutes the refereed proceedings of the 5th International Workshop on Multiple Classifier Systems, MCS 2004, held in Cagliari, Italy in June 2004. The 35 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on bagging and boosting, combination methods, design methods, performance analysis, and applications.

Temporal Data Mining

Temporal Data Mining PDF Author: Theophano Mitsa
Publisher: CRC Press
ISBN: 9781420089776
Category : Computers
Languages : en
Pages : 395

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Book Description
Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices, the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa.wordpress.com/

Dissertation Abstracts International

Dissertation Abstracts International PDF Author:
Publisher:
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Category : Dissertations, Academic
Languages : en
Pages :

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Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Josef Kittler
Publisher: Springer
ISBN: 3540450149
Category : Computers
Languages : en
Pages : 408

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Book Description
This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000.The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on theoretical issues, multiple classifier fusion, bagging and boosting, design of multiple classifier systems, applications of multiple classifier systems, document analysis, and miscellaneous applications.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author:
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Category : Machine learning
Languages : en
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Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems PDF Author: Emilio Corchado
Publisher: Springer Science & Business Media
ISBN: 3642212212
Category : Computers
Languages : en
Pages : 490

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Book Description
The LNAI series reports state-of-the-art results in artificial intell research, development, and education, at a high level and in both printer electronic form. Enjoying tight cooperatibn with the R & D community numerous individuals, as well as with prestigious organizations and soc LNAI has grown into the most comprehensive artificial intelligence res forum available. The scope of LNAI spans the whole range, of artificial intelligence and ligent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings (published in time for the respective conference) post-proceedings (consisting of thoroughly revised final full papers) research monographs (which may be based on PhD work) More recently, several color-cover sublines have been added featuring, be a collection of papers, various added-value components; these sub include tutorials (textbook-like monographs or collections of lectures given at advanced courses) state-of-the-art surveys (offering complete and mediated coverage of a topic) hot topics (introducing emergent topics to the broader community) In parallel to the printed book, each new volume is published electronical in LNCS Online. Book jacket.

Artificial Neural Networks in Pattern Recognition

Artificial Neural Networks in Pattern Recognition PDF Author: Neamat El Gayar
Publisher: Springer
ISBN: 3319116568
Category : Computers
Languages : en
Pages : 289

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Book Description
This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Zhi-Hua Zhou
Publisher: Springer
ISBN: 3642380670
Category : Computers
Languages : en
Pages : 400

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Book Description
This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.