Thorsten Joachims's Books

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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Page Count

218

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461509076

ISBN 13

9781461509073

Notes to Biochemical Pharmacology

By: Michael Palmer,Alice Chan,Thorsten Dieckmann,John Honek

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Notes to Biochemical Pharmacology

By: Michael Palmer,Alice Chan,Thorsten Dieckmann,John Honek

This book contains lecture notes intended for teaching biochemical pharmacology. The content is based on and best understood as an ancillary with the authors' textbook Biochemical Pharmacology (Wiley, 2012). Most of the figures have been adapted, with enhancements and occasional corrections, whereas the text is new and more condensed -- making it easier to cover most or all of the content in a single term. The focus is on principles, not on comprehensive coverage or clinical relevance. It uses a simple layout, presenting lecture slides in sequence, augmented with the explanatory text below each. This is an ideal format for ebook reading, yielding easier on-screen reading than a traditional book layout.

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Page Count

388

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118819985

ISBN 13

9781118819982

Learning to Classify Text Using Support Vector Machines

By: Thorsten Joachims

Write a review Read reviews Take a Quiz Solve Book Puzzle

Learning to Classify Text Using Support Vector Machines

By: Thorsten Joachims

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

218

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1461509076

ISBN 13

9781461509073

Book's by Thorsten Joachims

Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines

Notes to Biochemical Pharmacology

Notes to Biochemical Pharmacology

Learning to Classify Text Using Support Vector Machines

Learning to Classify Text Using Support Vector Machines

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