[PDF.06tb] Combining Pattern Classifiers: Methods and Algorithms

Combining Pattern Classifiers: Methods and Algorithms

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 | #4420064 in Books |  2004-07-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.47 x1.09 x6.48l,1.45 | File type: PDF | 376 pages

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||3 of 6 people found the following review helpful.| Comprehensive and Current Coverage of Model Combination|By Customer|This title covers a variety of predictive model combination methods, for both categorical and numeric target variables (bagging, boosting, etc.). It uses specific cases to illustrate particular points and makes reference to current literature (many references are from the early 2000s). Some MATLAB source cod| |The well written 'Combining Pattern Classifiers'…is all about how patterns are to be recognized and interpreted." (Journal of Statistical Computation and Simulation, March 2006) |"In a clear and straightforward manner, the author provides a much

Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications i...

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