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Editore: Boston: Kluwer Academic, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Libro
Condizione: Good. 115 pp., hardcover, ex library, else text and binding still clean tight and bright. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Ergodebooks, Houston, TX, U.S.A.
Libro
hardcover. Condizione: Good. 1990. One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true and whose consequences then begin to unfold in unforeseen directions For me this book presents such an idea and several of its ramifications This book is concerned with machine learning It focuses on a ques tion that is central to understanding how computers might learn how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept Although this question of how to automatically generalize from examples has been considered by many researchers over several decades it remains only partly answered The approach developed in this book based on Haym Hirshs PhD dis sertation leads to an algorithm which efficiently and exhaustively searches a space of hypotheses possible generalizations of the data to find all maxi mally consistent hypotheses even in the presence of certain types of incon sistencies in the data More generally it provides a framework for integrat ing different types of constraints eg training examples prior knowledge which allow the learner to reduce the set of hypotheses under consideration.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Libro
Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.82.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Hardcover. Condizione: new.
Editore: Kluwer Academic Publishers, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Antiquariat Peda, Landsberg, Hohenthurm, SA, Germania
Libro
Hardcover / Pappeinband , Condizione: Gut. 115 Seiten / Pages , berieben , 11-6 ISBN 0792391195 Sprache: Englisch Gewicht in Gramm: 408.
Editore: Kluwer Academic Publishers, U.S.A, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: RIVERLEE BOOKS, Waltham Cross, HERTS, Regno Unito
Libro
Hardcover. Condizione: Very Good. Very good condition hard cover, some wear to cover and spine, internally clean and tidy with unmarked pages, in a good readable condition.
Editore: Springer, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer 2011-09, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: New.
Editore: Springer, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: New.
Editore: Springer US, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: moluna, Greven, Germania
Libro Print on Demand
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. T.
Editore: Springer US, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: moluna, Greven, Germania
Libro Print on Demand
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. T.
Editore: Springer US, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: 'how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept ' Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirsh's Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration.
Editore: Springer US, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: 'how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept ' Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirsh's Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration.
Editore: Springer US Sep 2011, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: 'how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept ' Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirsh's Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration. 136 pp. Englisch.
Editore: Springer-Verlag New York Inc., 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
Condizione: New. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 116 pages, biography. BIC Classification: UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 219. . 2011. Softcover reprint of the original 1st ed. 1990. Paperback. . . . .
Editore: Springer-Verlag New York Inc., 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro Print on Demand
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro Print on Demand
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
Condizione: New.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer US Jul 1990, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the most enjoyable experiences in science is hearing a simple but novel idea which instantly rings true, and whose consequences then begin to unfold in unforeseen directions. For me, this book presents such an idea and several of its ramifications. This book is concerned with machine learning. It focuses on a ques tion that is central to understanding how computers might learn: 'how can a computer acquire the definition of some general concept by abstracting from specific training instances of the concept ' Although this question of how to automatically generalize from examples has been considered by many researchers over several decades, it remains only partly answered. The approach developed in this book, based on Haym Hirsh's Ph.D. dis sertation, leads to an algorithm which efficiently and exhaustively searches a space of hypotheses (possible generalizations of the data) to find all maxi mally consistent hypotheses, even in the presence of certain types of incon sistencies in the data. More generally, it provides a framework for integrat ing different types of constraints (e.g., training examples, prior knowledge) which allow the learner to reduce the set of hypotheses under consideration. 136 pp. Englisch.
Editore: Springer-Verlag New York Inc., 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: Kennys Bookstore, Olney, MD, U.S.A.
Libro
Condizione: New. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 116 pages, biography. BIC Classification: UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 7. Weight in Grams: 219. . 2011. Softcover reprint of the original 1st ed. 1990. Paperback. . . . . Books ship from the US and Ireland.
Editore: Springer, 1990
ISBN 10: 0792391195ISBN 13: 9780792391197
Da: Kennys Bookstore, Olney, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2011
ISBN 10: 1461288347ISBN 13: 9781461288343
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: As New. Unread book in perfect condition.