The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

GBRL is a Python-based Gradient Boosting Trees (GBT) library, similar to popular packages such as XGBoost, CatBoost, but specifically designed and optimized for reinforcement learning (RL). GBRL is ...

Hyperparameters tuning and features selection are two common steps in every machine learning pipeline. Most of the time they are computed separately and independently. This may result in suboptimal ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Abstract: Mangroves are one of the important blue carbon ecosystems that provide numerous benefits for humans and the surrounding environment. The mapping and monitoring of mangrove forests are ...

为了解决这些问题，Microsoft在2017年推出了LightGBM（Light Gradient Boosting Machine），一个更快速、更低内存消耗、更高性能的梯度提升框架。 大家好，我是Peter~ 今天给大家分享一下树模型的经典算法：LightGBM，介绍算法产生的背景、原理和特点，最后提供一个基于 ...