Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
IEEE

LiDAR-Based Force Feedback Generation for Mobile Robots Using Random Forest Algorithm in Machine Learning

Abstract: This paper introduces a novel approach for enhancing haptic feedback performance in a mobile robot (MR) controller. The system measures the MR's surroundings using a LiDAR sensor. It ...
IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
GitHub

Motor-Learning-Lab/albert-em-port

This package provides a complete, high-performance Python implementation of the Expectation-Maximization algorithm for fitting two-state models of motor learning. The implementation uses Numba JIT ...