A machine learning project implementing three different linear classification algorithms for sentiment analysis of text reviews. The project compares the performance of Perceptron, Average Perceptron, ...

Add a description, image, and links to the linear-algorithms topic page so that developers can more easily learn about it.

Abstract: This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

Linear equations play a pivotal role in many areas of science and engineering, making efficient solutions to linear systems highly desirable. The development of quantum algorithms for solving linear ...

Abstract: With the development of integrated network technology, the requirement of Quality of Service (QoS) for satellite network is increasing gradually. Low Earth Orbit (LEO) satellites are ...

Contextual bandits are widely used in Internet services from news recommendation to advertising. Generalized linear models (logistical regression in particular) have demonstrated stronger performance ...

In this technical report, we present a simple combinatorial algorithm for the Betweenness problem. In the Betweenness problem, we are given a set of vertices and betweenness constraints. Each ...