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IEEE11d
An Ensemble Feature Selection Algorithm for Machine Learning based Intrusion Detection System
A machine learning-based Intrusion Detection System (IDS ... In this paper, a lightweight and effective feature selection algorithm for IDS is proposed. This algorithm combines the advantages of both ...
Hosted on MSN21d
What Is Linear Regression In Machine Learning ? Understand With Examples
In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. Gov. Whitmer Responds as Trump Considers Kidnap Plot Pardon Movies ...
IEEE28d
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
Impact Statement: Integrating quantum computing and machine learning techniques into brain-computer interface ... The promising results obtained from applying the proposed quantum algorithm, which ...
Nieman Journalism Lab28d
How this year’s Pulitzer awardees used AI in their reporting
Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded the ... developed a custom image-recognition algorithm. He fed land titles and land ...
Hosted on MSN29d
Logistic Regression Machine Learning Example ¦ Simply Explained
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
C&EN29d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...