2014, ISBN: 3319056298
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2014, ISBN: 3319056298
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2014, ISBN: 3319056298
[EAN: 9783319056296], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ARTIFICIALINTELLIGENCE; COMPUTATIONALBIOLOGY; COMPUTATIONALINTELLIGENCE; DATAMINING; MACHINELEARNING; ME… Altro …
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ISBN: 9783319056296
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Scalable Pattern Recognition Algorithms Applications in Computational Biology and Bioinformatics - libri usati
2014, ISBN: 9783319056296
[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24633940/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …
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2014, ISBN: 3319056298
Unser Preis. Verlag / Jahr. von Maji, Pradipta und Sushmita Paul Maji, Pradipta und Sushmita Paul Springer International Publishing, 2014. Scalable Pattern Recognition Algorithms Applicat… Altro …
Maji, Pradipta und Sushmita Paul:
Scalable Pattern Recognition Algorithms Applications in Computational Biology an - libri usati2014, ISBN: 3319056298
Unser Preis. Verlag / Jahr. von Maji, Pradipta und Sushmita Paul Maji, Pradipta und Sushmita Paul Springer International Publishing, 2014. Scalable Pattern Recognition Algorithms Applicat… Altro …
Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics - copertina rigida, flessible
2014
ISBN: 3319056298
[EAN: 9783319056296], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ARTIFICIALINTELLIGENCE; COMPUTATIONALBIOLOGY; COMPUTATIONALINTELLIGENCE; DATAMINING; MACHINELEARNING; ME… Altro …
ISBN: 9783319056296
This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern rec… Altro …
Scalable Pattern Recognition Algorithms Applications in Computational Biology and Bioinformatics - libri usati
2014, ISBN: 9783319056296
[PU: Springer International Publishing], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 24633940/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 201… Altro …
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Informazioni dettagliate del libro - Scalable Pattern Recognition Algorithms
EAN (ISBN-13): 9783319056296
ISBN (ISBN-10): 3319056298
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2014
Editore: Springer International Publishing
Libro nella banca dati dal 2014-06-03T21:38:28+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-12-21T10:17:38+01:00 (Zurich)
ISBN/EAN: 9783319056296
ISBN - Stili di scrittura alternativi:
3-319-05629-8, 978-3-319-05629-6
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : paul
Titolo del libro: recognition pattern, maji, bioinformatics
Dati dell'editore
Autore: Pradipta Maji; Sushmita Paul
Titolo: Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics
Editore: Springer; Springer International Publishing
304 Pagine
Anno di pubblicazione: 2014-04-04
Cham; CH
Stampato / Fatto in
Lingua: Inglese
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXII, 304 p. 55 illus., 10 illus. in color.
BB; Hardcover, Softcover / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; Artificial Intelligence; Bioinformatics; Computational Biology; Computational Intelligence; Data Mining; Machine Learning; Medical Imaging; Pattern Recognition; Soft Computing; Computational and Systems Biology; Automated Pattern Recognition; Artificial Intelligence; Data Mining and Knowledge Discovery; Radiology; Mustererkennung; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; Bildgebende Verfahren; EA; BC
Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering.- Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification.- Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters.- Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images.
Part I Classification.- Part II Feature Selection.- f Part III Clustering.-From the book reviews:
“This book provides unique insights into how various soft computing and machine learning methods can be formulated and used in building efficient pattern recognition models. … This is a great resource to students and researchers in the fields of computer science, electrical and biomedical engineering. The author has explained the complex ideas through numerous examples which make conceptualization easy. … The well-organized chapters as well as use of different notations and typescripts make it a user-friendly reference.” (Parthiv Amin, Doody’s Book Reviews, August, 2014)
is a Research Associate at the same institution.
Dr. Pradipta Maji Dr. Sushmita PaulRecent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools.
This unique text/reference addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The book reviews both established and cutting-edge research, following a clear structure reflecting the major phases of a pattern recognition system: classification, feature selection, and clustering. The text provides a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics.
This important work will be of great use to graduate students and researchers in the fields of computer science, electrical and biomedical engineering. Researchers and practitioners involved in pattern recognition, machine learning, computational biology and bioinformatics, data mining, and soft computing will also find the book invaluable.
Topics and features:Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformatics Includes numerous examples and experimental results to support the theoretical concepts described Concludes each chapter with directions for future research and a comprehensive bibliography Includes supplementary material: sn.pub/extras
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