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 Cost-sensitive, Scalable and Adaptive Learning Using Ensemble Methods. Theory and Application
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Cost-sensitive, Scalable and Adaptive Learning Using Ensemble Methods. Theory and Application

автор Wei F. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 188        мягкая обложка       
Аннотация:Prior work in inductive learning focused on generic algorithms that sought to reduce complexity. There are usually new and unknown patterns that traditional hypotheses will either ignore or misclassify. In real world contexts, different exemplars frequently have varying costs. 3. All features are freely acquired with no computational or monetary costs. Thus, simplifying assumptions were made. 1. All data resides on a single processor, and resides entirely in main memory; Clearly in modern organizations today, most data resides in a distributed architecture with only small portions being resident in main memory at each moment. 2. Each datum is considered equally important and uniform costs are assumed. Usually, the test for each feature consumes different costs and cannot be ignored, i. e. , accurate models that only take advantage of the most expensive features are not acceptable. 4. Model is computed on the basis of complete knowledge. This assumption is more often violated than satisfied. A learned hypothesis will be applied to scenarios that are completely represented in the training set. This is unrealistic for many applications, such as medical diagnosis.
Автор: Wei F.
Издательство: Книга по Требованию
Год:2009
Цена:
2783 руб
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Поиск: Cost-sensitive, Scalable and Adaptive Learning Using Ensemble Methods. 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.
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