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	Ma, Yunqian     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 4 of 4 reviews       Support vector machines applications Ma Y., Guo G., Springer Publishing Company, Incorporated, New York, NY, 2014. 308 pp.  Type: Book (978-3-319022-99-4) Although support vector machines (SVMs) are a relatively new topic in the field of machine learning, there have been many papers and books published that report on the progress of both theoretical research and practical developments. T...... Aug 18 2014     Imbalanced learning: foundations, algorithms, and applications He H., Ma Y., Wiley-IEEE Press, Hoboken, NJ, 2013. 216 pp.  Type: Book (978-1-118074-62-6) Imagine an imbalanced dataset of cancer patients with highly skewed data having only 0.01 percent positive cancer cases. A naive or dumb machine that calls out “no cancer” to all queries would appear to be 99.99 per...... Mar 27 2014     Graph embedding for pattern analysis Fu Y., Ma Y., Springer Publishing Company, Incorporated, New York, NY, 2013. 268 pp.  Type: Book (978-1-461444-56-5) From the beginning, graph theory has been aimed at applications, entering computer science by way of such applications as the famous shortest part problem and the reliability analysis of memory. More recent research activities have foc...... Nov 15 2013     Ensemble machine learning: methods and applications Zhang C., Ma Y., Springer Publishing Company, Incorporated, New York, NY, 2012. 337 pp.  Type: Book (978-1-441993-25-0) Many machine learning algorithms, such as neural nets, support vector machines, decision trees, Bayesian networks, clustering, hidden Markov models, and temporal difference learning, have been devised and used to discover patterns in d...... Jul 10 2012
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