TechRadar22d
What is Machine Learning?
That future is already here, powered by machine ... learning uses labeled data, where the answer is already known. Meanwhile, unsupervised learning deals with unlabeled data, challenging the ...
IEEE23d
Learning The Optimal Discriminant SVM with Feature Extraction
and algorithm convergence. To address these problems, this paper develops a novel method named Optimal Discriminant Support Vector Machine (ODSVM), which integrates support vector classification with ...
IEEE24d
Block Encryption LAyer (BELA): Zero-Trust Defense Against Model Inversion Attacks for Federated Learning in 5G/6G Systems
Abstract: Federated Learning (FL) paradigm has been very popular in the implementation ... This paper proposes a zero-trust based Block Encryption LAyer (BELA) module that provides defense against the ...
Frontiers1mon
Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm
An SVM is a supervised machine learning technology for disease classification (16). The SVM algorithm focuses on classification tasks and achieves the separation of different types of samples by ...
GitHub1mon
machine-learning-from-scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed. Become skilled in Artificial Intelligence, ...
GitHub1y
DoubleML - Double Machine Learning in Python
the machine learners for the nuisance functions,... the resampling schemes,... the double machine learning algorithm,... the Neyman orthogonal score functions,... It further can be readily extended ...