This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software.
对比英文版,此中文版的翻译可以用离谱来形容!我都忍不住想爆粗口了!这种垃圾翻译也出版!…………………………………………………………………………………………………………………………………………………………………………………………
評分对比英文版,此中文版的翻译可以用离谱来形容!我都忍不住想爆粗口了!这种垃圾翻译也出版!…………………………………………………………………………………………………………………………………………………………………………………………
評分对比英文版,此中文版的翻译可以用离谱来形容!我都忍不住想爆粗口了!这种垃圾翻译也出版!…………………………………………………………………………………………………………………………………………………………………………………………
評分我写的模式识别算法库NPatternRecognizer(http://npatternrecognizer.codeplex.com/) 支持向量机那部分就很大程度上参照了这本书。
評分对比英文版,此中文版的翻译可以用离谱来形容!我都忍不住想爆粗口了!这种垃圾翻译也出版!…………………………………………………………………………………………………………………………………………………………………………………………
chm?
评分第七章還行。
评分nice explanation of algorithm
评分confusing
评分confusing
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