Sentence examples for maximum classification algorithm from inspiring English sources

Sengupta et al. [29] designed an online intrusion detection system (IDS) using both rough set theory and Q-learning algorithm to achieve a maximum classification algorithm that classifies data as either normal or anomaly using NSL-KDD network traffic data.

We have conceived a multi-criteria and multilevel methodology that was integrated into a geographic information system (GIS) and is based on clustering and maximum likelihood classification algorithms.

An over 1000-element array of supervised classification results is generated by varying the underlying classification algorithm (Maximum Likelihood/Spectral Angle Mapper/Spectral Information Divergence), the remote sensing data stack (different multi-sensor data combination), and the set of hyperspectral channels used for classification (feature selection).

The proposed algorithm has a maximum classification rate of 100% on tested videos.

First, we use a noise reduction filter using mathematical morphology, and next we use a classification algorithm such as the maximum likelihood classification method with the filtered image.

They achieved maximum classification accuracy of 83.26 and 75.21% using kNN and linear discriminant analysis (LDA) algorithm, respectively.

We first present the fused lasso classification algorithm and then show how to extend it to an unsupervised setting based on the maximum margin clustering algorithms.

The Q-learning algorithm has been modified to learn optimum cut value for different attributes so that corresponding reduct produces maximum classification accuracy while classifying network traffic data.

Classification algorithm for AIEC identification.

c, Segmentation by classification algorithm.

This paper was the first to describe the SVM, a type of discriminative classification algorithm.