Abstract: We introduce a novel ensemble learning framework for supervised classification. Our proposed framework, mixed bagging, is a form of bootstrap aggregating (bagging) in which the sampling ...

Abstract: In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold ...

The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an ...

There was an error while loading. Please reload this page. This project focuses on the classification of Alzheimer's disease using ensemble learning techniques ...

Certifying whether an arbitrary quantum system is entangled or not, is, in general, an NP-hard problem. Though various necessary and sufficient conditions have already been explored in this regard for ...