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Published by Springer, 1982
ISBN 10: 0387907335ISBN 13: 9780387907338
Seller: Majestic Books, Hounslow, United Kingdom
Book
Condition: Used. pp. 399.
Published by Springer, U.S.A., 1982
ISBN 10: 0387907335ISBN 13: 9780387907338
Seller: Moe's Books, Berkeley, CA, U.S.A.
Book
Hard Cover. Condition: Very Good. No Jacket.
Published by Springer, 2010
ISBN 10: 038751144XISBN 13: 9780387511443
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Paperback. Condition: Like New. Like New. book.
Published by Springer, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Books Unplugged, Amherst, NY, U.S.A.
Book
Condition: Good. Buy with confidence! Book is in good condition with minor wear to the pages, binding, and minor marks within.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Hardcover. Condition: new.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Books Unplugged, Amherst, NY, U.S.A.
Book
Condition: Fair. Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Book Deals, Tucson, AZ, U.S.A.
Book
Condition: Fair. Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Book Deals, Tucson, AZ, U.S.A.
Book
Condition: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages.
Published by Springer, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: New. Book is in NEW condition.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Book Deals, Tucson, AZ, U.S.A.
Book
Condition: New. New! This book is in the same immaculate condition as when it was published.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer New York, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Afterword of 2006Twenty-?ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ?ve years is a long period of time. During these years many things have ha.
Published by Springer New York, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Afterword of 2006Twenty-?ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ?ve years is a long period of time. During these years many things have ha.
Published by Springer New York Nov 2010, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Twenty- ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ve years is a long period of time. During these years many things have happened. Looking back, one can see how rapidly life and technology have changed, and how slow and dif cult it is to change the theoretical foundation of the technology and its philosophy. I pursued two goals writing this Afterword: to update the technical results presented in EDBED (the easy goal) and to describe a general picture of how the new ideas developed over these years (a much more dif cult goal). The picture which I would like to present is a very personal (and therefore very biased) account of the development of one particular branch of science, Empirical - ference Science. Such accounts usually are not included in the content of technical publications. I have followed this rule in all of my previous books. But this time I would like to violate it for the following reasons. First of all, for me EDBED is the important milestone in the development of empirical inference theory and I would like to explain why. S- ond, during these years, there were a lot of discussions between supporters of the new 1 paradigm (now it is called the VC theory ) and the old one (classical statistics). 112 pp. Englisch.
Published by Springer New York Mrz 2006, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Twenty- ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ve years is a long period of time. During these years many things have happened. Looking back, one can see how rapidly life and technology have changed, and how slow and dif cult it is to change the theoretical foundation of the technology and its philosophy. I pursued two goals writing this Afterword: to update the technical results presented in EDBED (the easy goal) and to describe a general picture of how the new ideas developed over these years (a much more dif cult goal). The picture which I would like to present is a very personal (and therefore very biased) account of the development of one particular branch of science, Empirical - ference Science. Such accounts usually are not included in the content of technical publications. I have followed this rule in all of my previous books. But this time I would like to violate it for the following reasons. First of all, for me EDBED is the important milestone in the development of empirical inference theory and I would like to explain why. S- ond, during these years, there were a lot of discussions between supporters of the new 1 paradigm (now it is called the VC theory ) and the old one (classical statistics). 528 pp. Englisch.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. 528.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: BennettBooksLtd, North Las Vegas, NV, U.S.A.
Book
Condition: New. New. In shrink wrap. Looks like an interesting title! 1.9.
Published by Springer New York, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Twenty- ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ve years is a long period of time. During these years many things have happened. Looking back, one can see how rapidly life and technology have changed, and how slow and dif cult it is to change the theoretical foundation of the technology and its philosophy. I pursued two goals writing this Afterword: to update the technical results presented in EDBED (the easy goal) and to describe a general picture of how the new ideas developed over these years (a much more dif cult goal). The picture which I would like to present is a very personal (and therefore very biased) account of the development of one particular branch of science, Empirical - ference Science. Such accounts usually are not included in the content of technical publications. I have followed this rule in all of my previous books. But this time I would like to violate it for the following reasons. First of all, for me EDBED is the important milestone in the development of empirical inference theory and I would like to explain why. S- ond, during these years, there were a lot of discussions between supporters of the new 1 paradigm (now it is called the VC theory ) and the old one (classical statistics).
Published by Springer, 2010
ISBN 10: 1441921583ISBN 13: 9781441921581
Seller: Books Unplugged, Amherst, NY, U.S.A.
Book
Condition: New. Buy with confidence! Book is in new, never-used condition.
Published by Springer New York, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Twenty- ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ve years is a long period of time. During these years many things have happened. Looking back, one can see how rapidly life and technology have changed, and how slow and dif cult it is to change the theoretical foundation of the technology and its philosophy. I pursued two goals writing this Afterword: to update the technical results presented in EDBED (the easy goal) and to describe a general picture of how the new ideas developed over these years (a much more dif cult goal). The picture which I would like to present is a very personal (and therefore very biased) account of the development of one particular branch of science, Empirical - ference Science. Such accounts usually are not included in the content of technical publications. I have followed this rule in all of my previous books. But this time I would like to violate it for the following reasons. First of all, for me EDBED is the important milestone in the development of empirical inference theory and I would like to explain why. S- ond, during these years, there were a lot of discussions between supporters of the new 1 paradigm (now it is called the VC theory ) and the old one (classical statistics).
Published by Springer-Verlag Gmbh Nov 1999, 1999
ISBN 10: 0387987800ISBN 13: 9780387987804
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Book
Buch. Condition: Neu. Neuware -The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: \* the setting of learning problems based on the model of minimizing the risk functional from empirical data \* a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency \* non-asymptotic bounds for the risk achieved using the empirical risk minimization principle \* principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds \* the Support Vector methods that control the generalization ability when estimating function using small sample size. The second edition of the book contains three new chapters devoted to further development of the learning theory and SVM techniques. These include: \* the theory of direct method of learning based on solving multidimensional integral equations for density, conditional probability, and conditional density estimation \* a new inductive principle of learning. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Vladimir N. Vapnik is Technology Leader AT&T Labs-Research and Professor of London University. He is one of the founders of 314 pp. Englisch.
Published by Springer-Verlag Gmbh Nov 1999, 1999
ISBN 10: 0387987800ISBN 13: 9780387987804
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book
Buch. Condition: Neu. Neuware -The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. These include: \* the setting of learning problems based on the model of minimizing the risk functional from empirical data \* a comprehensive analysis of the empirical risk minimization principle including necessary and sufficient conditions for its consistency \* non-asymptotic bounds for the risk achieved using the empirical risk minimization principle \* principles for controlling the generalization ability of learning machines using small sample sizes based on these bounds \* the Support Vector methods that control the generalization ability when estimating function using small sample size. The second edition of the book contains three new chapters devoted to further development of the learning theory and SVM techniques. These include: \* the theory of direct method of learning based on solving multidimensional integral equations for density, conditional probability, and conditional density estimation \* a new inductive principle of learning. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists. Vladimir N. Vapnik is Technology Leader AT&T Labs-Research and Professor of London University. He is one of the founders of 314 pp. Englisch.
Published by Springer-Verlag Gmbh Nov 1999, 1999
ISBN 10: 0387987800ISBN 13: 9780387987804
Seller: Wegmann1855, Zwiesel, Germany
Book
Buch. Condition: Neu. Neuware -The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Published by Springer, 2006
ISBN 10: 0387308652ISBN 13: 9780387308654
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. Print on Demand pp. 528 28 Illus.