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Learning to Classify Text Using Support Vector Machines
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Learning to Classify Text Using Support Vector Machines

4.33 of 5 stars 4.33  ·  rating details  ·  6 ratings  ·  1 review
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 appr ...more
Hardcover, 205 pages
Published April 30th 2002 by Springer
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Nick Black
Nov 09, 2008 Nick Black marked it as warily-considering
I've got to build up a foundation in machine learning; I know absolutely nothing about the field and it's beginning to creep into my areas of expertise. In a VoIPSecurity working group meeting the other day, a "C4.5" tree came up and I almost crapped myself -- wtf, is that a decision-tree-thing? a data-structure-thing? a some-other-damn-thing? OH NOOOO PEOPLE IN THE ROOM KNOW THINGS I DON'T AND THEY'RE ALL LOOKING AT ME WHY AM I NOT MORE INTELLIGENT AUGH. It turned out that yes, it was just a de ...more
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