Thorsten Opper's Books

Nero

The Man Behind the Myth

By: Thorsten Opper

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Nero

The Man Behind the Myth

By: Thorsten Opper

Takes a fresh look at the life of Nero (r. AD 54-68), providing insight into the inner conflicts of a Roman society in transition and challenging preconceptions of a figure dismissed by a hostile source-tradition as tyrannical, deluded and ineffectual.

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Page Count

304

Published Date

ISBN 10

0714122904

ISBN 13

9780714122908

Hadrian

Empire and Conflict

By: Thorsten Opper

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Hadrian

Empire and Conflict

By: Thorsten Opper

Hadrian, a Roman emperor, the builder of Hadrian's Wall in the north of England, a restless and ambitious man who was interested in architecture and was passionate about Greece and Greek culture. Is this the common image today of the ruler of one of the greatest powers of the ancient world?" "Published to complement a major exhibition at the British Museum, this wide-ranging book rediscovers Hadrian. The sharp contradictions in his personality are examined, previous concepts are questioned and myths that surround him are exploded." --Book Jacket.

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Page Count

268

Publisher

Harvard University Press

Published Date

ISBN 10

0674030958

ISBN 13

9780674030954

Hadrian

Empire and Conflict

By: Thorsten Opper

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Hadrian

Empire and Conflict

By: Thorsten Opper

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Page Count

268

Publisher

Harvard University Press

Published Date

ISBN 10

0674030958

ISBN 13

9780674030954

Learning to Classify Text Using Support Vector Machines

By: Thorsten Joachims

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Learning to Classify Text Using Support Vector Machines

By: Thorsten Joachims

Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.

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Age

Page Count

218

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461509076

ISBN 13

9781461509073

Book's by Thorsten Opper

Nero

Nero

Hadrian

Hadrian

Hadrian

Hadrian

Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines

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