Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Frontiers

A random forest dynamic threshold imputation method for handling missing data in cognitive diagnosis assessments

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...
GitHub

Implement Random Forest Algorithm for Encrypted Traffic Classification

@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...
ZDNet

This random YouTube video finder takes you back to pre-algorithm internet fun

The second you start watching a video on YouTube, the site begins building an algorithm of your likes. While the goal of that is to show you content you want to see, it means you'll miss out on so ...
Scientific Research Publishing

Application of Machine Learning Methods in Parameter Prediction of Deep Lacustrine Oil Shale Reservoirs—Taking the Triassic Chang 7 in the Longdong Area as an Example ()

1 School of Earth Science and Engineering, Xi’an Shiyou University, Xi’an, China. 2 Key Laboratory of Petroleum Geology and Reservoir, Xi’an Shiyou University, Xi’an, China. In the course of oil and ...
Scientific Research Publishing

GeeksforGeeks (2024, February 22). Random Forest Algorithm in Machine Learning. GeeksforGeeks.

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
IEEE

A method for identifying manipulative behavior in the electricity market based on the random forest algorithm considering both ex-ante and ex-post

Abstract: The property rights of China’s power generation side are relatively concentrated, which makes it easier to engage in market manipulation. As the construction of the mid- and long-term ...