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Multi-Task Gradient Boosting
Gradient Boosting Machines (GBMs) have revealed outstanding proficiency in various machine learning applications, such as classification and...
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Diabetes Risk Prediction Through Fine-Tuned Gradient Boosting
Diabetes, a chronic metabolic disease with a rising global prevalence, significantly impacts individuals’ health. Diabetes increases a person’s risk...
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A gradient boosting-based mortality prediction model for COVID-19 patients
The COVID-19 pandemic has been a global public health concern since March 11, 2020. Healthcare systems struggled to meet patients’ growing needs for...
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Incremental Natural Gradient Boosting for Probabilistic Regression
The natural gradient boosting method for probabilistic regression...
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TRBoost: a generic gradient boosting machine based on trust-region method
Gradient Boosting Machines (GBMs) have achieved remarkable success in effectively solving a wide range of problems by leveraging Taylor expansions in...
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Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting
The study aims to introduce a novel machine learning approach for the prediction of product lengths by addressing diverse data types including...
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An IoT-Based Heart Disease Diagnosis System Using Gradient Boosting and Deep Convolution Neural Network
The tremendous strides that have been made in biotechnology and the establishment of public healthcare infrastructures have resulted in a monumental...
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GBMILs: Gradient Boosting Models for Multiple Instance Learning
An approach based on using the gradient boosting machine for solving the Multiple Instance Learning (MIL) problem under condition of small tabular...
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A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
Tree ensemble algorithms as RandomForest and GradientBoosting are currently the dominant methods for modeling discrete or tabular data, however, they...
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Improved gradient boosting hybrid spectrum sharing and actor critic channel allocation in 6G CR-IOT
The fast advancement of wireless communication technology and the growth in the reputation of Internet of Things (IoT) applications have led to the...
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Attention-enhanced UNet and gradient boosting decision tree for objective evaluation of fabric pilling grade based on image analysis
Fabric pilling can significantly affect the usability and appearance of fabrics; making the evaluation of pilling grades a crucial aspect of textile...
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Using Automatic Programming to Improve Gradient Boosting for Classification
In this paper, we present our new and automatically tuned gradient boosting software, Classifium GB, which beats its closest competitor, H2O, for all...
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Detection and Classification of Brain Tumor Using Convolution Extreme Gradient Boosting Model and an Enhanced Salp Swarm Optimization
Some types of tumors in people with brain cancer grow so rapidly that their average size doubles in twenty-five days. Precisely determining the type...
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SecureBoost \(+\) : Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree
Gradient boosting decision tree (GBDT) is an ensemble machine learning algorithm that is widely used in industry. Due to the problem of data...
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Predicting Colour Reflectance with Gradient Boosting and Deep Learning
Colour matching remains to be a labour-intensive task which requires a combination of the colourist’s skills and a time consuming trial-and-error...
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Boosting
This chapter first introduces the idea of the boosting method and the representative boosting algorithm AdaBoost, then discusses why AdaBoost can...
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Predicting earnings per share using feature-engineered extreme gradient boosting models and constructing alpha trading strategies
This study explores the effectiveness of Extreme Gradient Boosting (XGBoost) models in predicting a stock's future Earnings Per Share (EPS). It...
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An adaptive CU size decision algorithm based on gradient boosting machines for 3D-HEVC inter-coding
3D high-efficiency video coding (3D-HEVC) is an extension of the HEVC standard for coding of texture videos and depth maps. 3D-HEVC inherits the same...
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Modified Extreme Gradient Boosting Algorithm for Prediction of Air Pollutants in Various Peak Hours
Machine learning is a fascinating field that involves teaching machines to learn patterns and make predictions or decisions without being explicitly...
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DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement
Social networks have modernized the way people communicate, share information, and consume content. The widespread use of social media platforms has...
