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Añadir al carritopaperback. Condición: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback Pages Number: 204 Language: Chinese. Great reading: Jane Eyre. a theme of love novels. The hero of Jane Eyre is a simple-hearted. thoughtful woman. she lived at the bottom. and had suffered. Her life experiences pitiful. but her stubborn character and courage to pursue the spirit of equality. and happiness. but for people to appreciate.Four Satisfaction guaranteed,or money back.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2006
ISBN 10: 3642068561 ISBN 13: 9783642068560
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Añadir al carritoTaschenbuch. Condición: Neu. Kernel Based Algorithms for Mining Huge Data Sets | Supervised, Semi-supervised, and Unsupervised Learning | Te-Ming Huang (u. a.) | Taschenbuch | Studies in Computational Intelligence | xvi | Englisch | 2010 | Springer | EAN 9783642068560 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Kernel Based Algorithms for Mining Huge Data Sets' is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642068561 ISBN 13: 9783642068560
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Kernel Based Algorithms for Mining Huge Data Sets' is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.
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Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Pages Number: 0 Publisher: Shanghai Translation Publishing House Pub. Date :2010-09-03. This book is a famous German writer Bertolt Brecht s masterpiece. is the most important German literary history. the most profound irony of the novel. Germany s most important works in exile. London s famous knife Maiqi Si is the first robber. is a businessman. Control of the city s first Pi Qiumu beggar beggars. the well-known local snakes. First fell in love with the first rob.
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Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2020-07-01 Pages: 224 Publisher: Hua Mountain Literature Publishing House Nobel Literature Award. Puli Literature Awards Double Great. One of the famous novelists in the 20th century. selected short stories collection. The whole book contains Kilimanjaro's snow such as a white elephant mountain in his township a clean and bright place Good Lion .
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Añadir al carritopaperback. Condición: New. Paperback. Pub Date: 2020-09-01 Pages: 112 Language: Chinese Publisher: Jiangsu Phoenix Children's Publishing House This set of bridge books tailored for primary school students in first and second grades has played a good role in cohesion and transition The role of: transition from picture books to text books in form. and transition from parent-child co-reading to children's independent reading in terms of method. The three stories revolve around the perplexities and problems that children e.
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Añadir al carritoHardcover. Condición: New. HardCover. Pub Date: 2021-01-01 Pages: 550 Language: Chinese Publisher: Liaoning Science and Technology Press. The first two editions of this book are widely praised. The teaching effect is remarkable. the presentation is clear. and the organization is clear. Therefore. it is not only for the majority of medical students. The reference book is also a practical guide for many experts and scholars.?In this third edition. we have re-edited most of the chapters and added new clinical cases.? Adde.
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Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback.Pub Date:2015-08-01 Publisher: People's Posts and Telecommunications Publishing House Wave Theory (Professional Interpretation Edition) Behind the seemingly impermanent rise and fall of the stock market. there are natural rhythms. We understand the law of fluctuations in the stock market. Then you can better control your investment behavior and returns.?The author of Wave Theory (Professional Interpretation Edition) introduced the basic rules and principles of wave .
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642068561 ISBN 13: 9783642068560
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques. 276 pp. Englisch.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg Mrz 2006, 2006
ISBN 10: 3540316817 ISBN 13: 9783540316817
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques. 284 pp. Englisch.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642068561 ISBN 13: 9783642068560
Librería: moluna, Greven, Alemania
EUR 92,27
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reports recent research results on Kernel Based Algorithms for Mining Huge Data SetsA book about (machine) learning from (experimental) data This is the first book treating the fields of supervised, semi-supervised an.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2006
ISBN 10: 3540316817 ISBN 13: 9783540316817
Librería: moluna, Greven, Alemania
EUR 92,27
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reports recent research results on Kernel Based Algorithms for Mining Huge Data SetsA book about (machine) learning from (experimental) data This is the first book treating the fields of supervised, semi-supervised an.
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Añadir al carritoCondición: New. Print on Demand pp. 278 96 Illus.
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 278.
Idioma: Inglés
Publicado por Springer, Springer Nov 2010, 2010
ISBN 10: 3642068561 ISBN 13: 9783642068560
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Kernel Based Algorithms for Mining Huge Data Sets' is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.