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Multiple Classifier Systems: Software Engineered, Automatically Modular Leading to a Taxonomic Overview

机译:多个分类器系统:软件设计,自动模块化的分类学概述

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摘要

One vigorous branch of research aimed at improving the performance of pattern recognition system explores the possibilities for exploiting the differences between a set of variously configured classifiers. This is the field of multiple Classifier systems (MCS), and it is based on the premise that it ought to be possible to organise and exploit the strengths and weaknesses of individual classifiers such that the MCS performance is superior to that of any of this components. Important concerns are the efficiency of multiple classifier constriction, and the effectiveness of the final MCS.
机译:旨在改善模式识别系统性能的一项有力的研究工作探索了利用各种配置的分类器之间的差异的可能性。这是多个分类器系统(MCS)的领域,它基于这样一个前提,即应该有可能组织和利用各个分类器的优缺点,从而使MCS性能优于任何此类组件。 。重要的问题是多重分类器收缩的效率以及最终MCS的有效性。

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