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 Handling Classification Uncertainty. Using Decision Trees in Biomedical Diagnostic Systems Theory and application
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Handling Classification Uncertainty. Using Decision Trees in Biomedical Diagnostic Systems Theory and application

автор Norbert T. издательство Книга по Требованию Книги
Cтраниц 152        мягкая обложка       
Аннотация:In the second part it is shown that these classification confidence values can be integrated to derive a consensus decision. This discussion can give a head start to anyone – researcher or developer – dealing with problems, where classification certainty is an issue. The first part of this Thesis proposes an extension to the decision tree framework to handle classification uncertainty, involving distance calculation to the relevant decision boundary; class density, correct classification probability and confidence estimation. Using the proposed combination scheme there is no need for an auxiliary combiner or weighting network, the weights are adaptively provided by the individual tree classifiers in the ensemble, new classifiers can be added dynamically without any retraining or modification to the existing system. The method is also applicable to trees that utilize oblique hyperplanes to cluster the input space and it is not restricted to the Euclidian distance metric. Many diagnostic applications require not only the samples to be classified, but a certainty value is required in addition to the predicted class label indicating the strength of the diagnosis.
Автор: Norbert T.
Издательство: Книга по Требованию
Год:2010
Цена:
2279 руб
Нет в наличии
Поиск: Handling Classification Uncertainty. Using Decision Trees in Biomedical Diagnostic Systems Theory and application
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
Ортомолекулярная медицина Orthomol Устрание причин заболеваний. Ортомоль это новый метод для лечения и профилактики болезней. Orthomol - ортомолекулярная медицина.
Правовой статус работника и работодателя

Как правило, на каждом предприятии помимо основного жалованья (base salary) (Ro hschild D., Merriefield L., Craver Ch. Collec ive Bargai i g a d Labor Arbi ra io . Р. 732) в коллективный договор включают и систему стимулирующих выплат (i ce ive sys em) (Ibid. P. 675). Размер установленного жалованья, обычно является величиной твердой, он не зависит от колебаний конъюнктуры и итогов деятельности компании. Система материального вознаграждения, по мнению американских специалистов, должна удовлетворять следующим требованиям: . поощрять работников к более усердной работе; . платить "более либерально", когда дела компании идут хорошо, и "менее либерально", когда результаты недостаточно высокие; . не платить за усилия, а платить за результаты, и главным образом за те, которые выражаются в прибыли. Для управленцев в качестве стимулирующего фактора предусмотрена выплата наградных (bo uses) в различных формах: деньгами, в виде акций, права на доход от прибыли. Компании стараются не разглашать порядок определения размера бонусов, так как здесь затрагивается вопрос о механизме перераспределения прибыли.
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