| 摘要 |
The systems and methods of the invention described herein improve classification accuracy by producing classifiers with individuality, in which each classifier exhibits its own distinctive behavior. A method according to one exemplary embodiment produces each classifier with individuality by randomly selecting subsets of a feature vector and using the randomly selected subsets of the feature vector in the design of the classifier. Because different subsets of the feature vector are used for each classifier, each classifier exhibits its own distinctive behavior or individuality. The classifiers with individuality improve classification accuracy, for example, when used as classifiers in a classifier array. This is because the individuality among the classifiers in the array ensures that a misclassification committed by one of the classifiers will not be repeated by other classifiers in the array, thereby improving the overall accuracy of the classifier array. |
