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  Ma, Yunqian Add to Alert Profile  
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. This new book...
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 percent accurate, and c...
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 focused on usin...
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 data. While o...
Jul 10 2012  

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