PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

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

Machine learning–guided feature selection and predictive model construction for attention ...

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
GitHub

how-to-use-lightgbm-with-synapseml.md

The [LightGBM](https://github.com/Microsoft/LightGBM) framework specializes in creating high-quality and GPU-enabled decision tree algorithms for ranking ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
Frontiers

SABO-ILSTSVR: a genomic prediction method based on improved least squares twin support ...

In modern breeding practices, genomic prediction (GP) uses high-density single nucleotide polymorphisms (SNPs) markers to predict genomic estimated breeding values (GEBVs) for crucial phenotypes, ...
51CTO

LightGBM实战+随机搜索调参：准确率96.67%

在机器学习领域，梯度提升机（Gradient Boosting Machines, GBMs）是一类强大的集成学习算法，它们通过逐步添加弱学习器（通常是决策树）来最小化预测误差，从而构建一个强大的模型。 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 ...
Visual Studio Magazine

Regression Using LightGBM

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...
51CTO

LightGBM算法背景、原理、特点+Python实战案例

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 ...