Browsing Faculty of Applied Science by Subject "Feature selection"

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Efficient feature selection and prediction for automobile dataset

Sobana, S.; Yogarajah, B. (Faculty of Applied Science, 2021-09-15)

Machine learning is currently the most commonly used branch of computer science, and it can guide better decisions and intelligent actions for high-value predictions in real-time. Researchers can use machine learning model ...
An Improved Algorithm for Fitting High-Dimensional Linear Regression Models

Kamsitha, S.; Yogarajah, B. (Faculty of Applied Science, University of Vavuniya, 2024-10-30)

High-dimensional linear regression (HDLR) is a critical tool in fields such as finance, statistics, and machine learning, particularly for feature selection and predictive modeling when there are many predictor variables ...
A Performance Evaluation of various SVM Tools and Different Feature Selection Strategies

Kokul, T. (Postgraduate Institute of Science, University of Peradeniya, 06-10-15)

Support vector machine (SVM) is an efficient classification technique which is widely used in many machine learning applications due to the property of outperforming other classifiers in its generalization performance. ...

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