By Te-Ming Huang
This is the 1st ebook treating the fields of supervised, semi-supervised and unsupervised computer studying jointly. The publication offers either the idea and the algorithms for mining large information units utilizing aid vector machines (SVMs) in an iterative means. It demonstrates how kernel dependent SVMs can be utilized for dimensionality relief and exhibits the similarities and ameliorations among the 2 most well liked unsupervised techniques.
Read Online or Download Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence) PDF
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