Książka Learning to Classify Text Using Support Vector Machines Thorsten Joachims

Learning to Classify Text Using Support Vector Machines

Język: Angielski
Oprawa: Miękka
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
423.79
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector M...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2013
strony
205
EAN
9781461352983
ISBN
1461352983
Enbook ID
06796280
Waga
355
Wymiary
155 x 235 x 12

Pełny opis

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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