Learning to Classify Text Using Support Vector Machines is popular PDF and ePub book, written by Thorsten Joachims in 2012-12-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Learning to Classify Text Using Support Vector Machines can be Read Online from any device for your convenience.
Learning to Classify Text Using Support Vector Machines Book PDF Summary
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.
Detail Book of Learning to Classify Text Using Support Vector Machines PDF
- Author : Thorsten Joachims
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461509073
- Genre : Computers
- Total Page : 218 pages
- Language : English
- PDF File Size : 17,7 Mb
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