Titlebook: Machine Learning in Medicine - Cookbook Three; Ton J. Cleophas,Aeilko H. Zwinderman Book 2014 The Author(s) 2014 Computer science.Data min

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Training Decision Trees for a More Meaningful Accuracy (150 Patients with Pneumonia). 145–156, Artificial intelligence, multilayer perceptron modeling, Springer Heidelberg Germany, 2013, from the same authors). The current chapter is to assess whether the splitting methodology, otherwise called partitioning, is also feasible for decision trees, and to assess its level of accuracy.

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Support Vector Machines for Imperfect Nonlinear Data (200 Patients with Sepsis)st fit models (see Machine Learning in Medicine Cookbook Two, Chaps. 18 and 19, Automatic modeling of drug efficacy prediction, and Automatic modeling for clinical event prediction, pp. 99–111, 2014, Springer Heidelberg Germany, from the same authors). This chapter uses the Konstanz Information Mine

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scovery of novel high polymers, the necessity of supplying a whole range of shades and increasing require­ ments for dyestuffs of high fastness properties give rise to a permanent search for new dyes. Extensive investigations on dyes were also occasioned by various applications in the field of spect

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Anthology

Ton J. Cleophas,Aeilko H. Zwindermanpe binaries is mainly a consequence of mass transfer, and thus can provide evolutionary information. Also, rotation is a neglected area of stellar astronomy, especially on the observational side, and it is appropriate to develop our knowledge simply because unexpected benefits nearly always accompan

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