FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
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Adagrad Algorithm Explained and Implemented from Scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
Scientific Research Publishing

Hybrid Software Model for Defect Detection and Cost Evaluation Using Support Vector Machine Algorithm ()

Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
Medscape

Simple Algorithm Reduces Racial Disparities in MS

A simple algorithm to aid in the selection of appropriate disease modifying therapies (DMTs) reduces racial disparities in patients with relapsing multiple sclerosis (MS), early new research showed.
Frontiers

A Support Vector Machine based approach for plagiarism detection in Python code submissions in undergraduate settings

Mechanisms for plagiarism detection play a crucial role in maintaining academic integrity, acting both to penalize wrongdoing while also serving as a preemptive deterrent for bad behavior. This ...
Scientific Research Publishing

Lloyd, S., Mohseni, M. and Rebentrost, P. (2013) Quantum Algorithms for Supervised and Unsupervised Machine Learning. arXiv:1307.0411

ABSTRACT: Classical machine learning, which is at the intersection of artificial intelligence and statistics, investigates and formulates algorithms which can be used to discover patterns in the given ...
IEEE

Fast model selection for MaxMinOver-based training of support vector machines

Abstract: OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model selection, ...