North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
Janesville Gazette

New 'harm reduction' vending machine placed at SSM-Health St. Mary's

JANESVILLE — SSM Health St. Mary’s Hospital — Janesville and Rock County Public Health this week unveiled a new harm reduction vending machine for the community. “All vending machine supplies are ...
Frontiers

Estimating rice yield-related traits using machine learning models integrating hyperspectral and texture features

1 Rice Research Institute, Guangdong Academy of Agricultural Sciences/Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), ...
IEEE

Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting

Time series analysis is a critical task across various scientific and industrial domains, enabling the extraction of valuable insights from temporal data. High dimensionality of time series data can ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

Performance of Two-Phase Designs for the Time-to-Event Outcome and a Case Study Assessing the Relapse Risk Associated With B-ALL Subtypes This study aims to improve survival modeling in head and neck ...
GitHub

pca-for-dimensionality-reduction

This project applies Machine Learning and Deep Learning to predict DON (vomitoxin) levels in corn samples using hyperspectral imaging data. The project includes preprocessing, feature selection, model ...
Scientific Research Publishing

Van Der Maaten, L., Postma, E. and Van den Herik, J. (2009) Dimensionality Reduction: A Comparative Review. Journal of Machine Learning Research, 10, 66-71.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...