The classical gradient descent method is generalized without using subgradient information of objective ... Rates of convergence are comprehensively explored for the algorithm with RWA (DRGFMD-RWA).

Abstract: This paper presents a novel methodology to address multi-output regression problems through the incorporation of deep-neural networks and gradient boosting. The proposed approach involves ...

Onions are easy to add to the diet. You may choose to add them to soups or salads, use them as toppings for tacos or fajitas, or mix them into a dip or spread.

Predicting the severity of anxiety attacks using machine learning models (Gradient Boosting, Random Forest, Lasso Regression) based on psychological, health, and lifestyle factors. This project ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...

Lidar sensors are essential because they use light pulses to detect distances, allowing the robots to carry out simultaneous localization and mapping, or SLAM. The algorithm challenges the notion ...