alexander mendelson (14 Ergebnisse)

Zustand: Fine. 276 pp., paperback, this is the 2018 later printing, new. - 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.

Hardcover. Zustand: Very Good. 2nd. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Zustand: Fair. No Jacket. Condition: Fair/usable study copy with worn covers and age toned pages. Ex university library with associated markings. Hard cover, no jacket. 349pp. No highlighting or annotations to text. Photo on request.

Hardcover. Zustand: Sehr gut. Unread book in excellent condition. Privately owned. Language: English.

Zustand: New. In.

Zustand: New. In.

Zustand: New.

4°, Softcover/Paperback. 1.Auflage,. 20 Seiten mit einigen Abbildungen, Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand Sprache: Englisch Gewicht in Gramm: 350.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11-22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.

Softcover. Zustand: Gut. Gebraucht - Gut Zustand: Gut, IX, 259 p. Also available online. About this book: This book presents revised reviewed versions of lectures given during the Machine Learning Summer School held in Canberra, Australia, in February 2002. The lectures address the following key topics in algorithmic learning: statistical learning theory, kernel methods, boosting, reinforcement learning, theory learning, association rule learning, and learning linear classifier systems. Thus, the book is well balanced between classical topics and new approaches in machine learning. Advanced students and lecturers will find this book a coherent in-depth overview of this exciting area, while researchers will use this book as a valuable source of reference. Written for researchers and professionals.

Taschenbuch. Zustand: Neu. Advanced Lectures on Machine Learning | Machine Learning Summer School 2002, Canberra, Australia, February 11-22, 2002, Revised Lectures | Shahar Mendelson (u. a.) | Taschenbuch | x | Englisch | 2003 | Springer | EAN 9783540005292 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11¿22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at [LINK ENTFERNT] anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will ?nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.

Originalpappband. 24cm. Zustand: Sehr gut. First edition. Schönes Exlibris für Chi Hwa Wu auf dem Innendeckel, sonst FRISCHES, SEHR schönes Exemplar der ERSTAUSGABE. In EXCELLENT shape. (We offer a lot of books on PHYSICS and MATHEMATICS on stock in EXCELLENT shape). Sprache: Englisch Gewicht in Gramm: 650.

HARDCOVER. 1st edition. 353pp, octavo. tight binding, clean throughout, clean boards, faded owner's stamp on ffep, Very Good worn edges, clear images, no tears of note, a bit soiled, Good+.