A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

This project uses Machine Learning to predict and compare the stock prices of TCS and Infosys from historical data (2015–2025), and projects prices up to the year 2030 using Linear Regression and ...

Abstract: This paper presents an unsupervised clustering random-forest-based metric for affinity estimation in large and high-dimensional data. The criterion used for node splitting during forest ...

Abstract: In this paper, we provide a novel regression algorithm based on a Gaussian random field (GRF) indexed by a Riemannian manifold (M, g). We utilize both the labeled and unlabeled data sets to ...

Linear Forests generalize the well known Random Forests by combining Linear Models with the same Random Forests. The key idea is to use the strength of Linear Models to improve the nonparametric ...

Contributed by Bin Yu, December 21, 2017 (sent for review June 23, 2017; reviewed by Michael M. Hoffman and Daniel Jacobson) ...