Apr 25, 2021 · Ensemble learning tries to combining multiple classifier outputs in order to obtain a robust model which substantially outperforms any ...

In this paper, we propose a method for the prediction of the EC customer's purchase behavior by combining multiple classifiers based on genetic algorithm.

This chapter also covers Decision Trees and Naive Bayes classifiers and how they can be used for activity recognition based on smartphone accelerometer data.

Classifier Behavior refers to the main behavior of a block in computer science, starting at the beginning of its lifetime and ending at the end.

The most common type of multiple classifier system (MCS) includes an ensemble of classifiers and a function for parallel combination of classifier outputs.

Since DS techniques have shown a favorable performance in classification problems, a variety of these techniques have been utilized by very many researchers ...

Dec 21, 2022 · We derive the theoretical limit for classification accuracy that arises from this overlap of data categories.

Jan 8, 2018 · Abstract. Exponential trends in data generation are presenting today's organizations, economies and governments with challenges never encoun ...

The simplest way to classify a packet is to use behavior aggregate (BA) classification, also called the CoS value in this document. The DSCP, DSCP IPv6, or IP ...

This study presents a theoretical investigation of the rank- based multiple classifier decision problem for closed-set pattern identification.