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Gradient boosting machines, a tutorial
Frontiers in Neurorobotics, 2013 Gradient boosting machines are a family of powerful machine-learning techniques that have shown considerable success in a wide range of practical applications.
Alois Knoll, Knoll Alois
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Greedy function approximation: A gradient boosting machine.
Annals of Statistics, 2001 Jérôme Friedman
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Political Media Discourse as an Interactional Space: Presidential TV Addresses to the Nation from a Metadiscourse Perspective [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2023 The study of political media discourse as an interactional space requires an analysis of not only its linguistic characteristics and propositional content but also its metadiscourse component, strategies employed to express speaker’s attitudes and ...
Olga А. Boginskaya
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FOSTER: Feature Boosting and Compression for Class-Incremental Learning [PDF]
European Conference on Computer Vision, 2022 The ability to learn new concepts continually is necessary in this ever-changing world. However, deep neural networks suffer from catastrophic forgetting when learning new categories.
Fu-Yun Wang +3 more
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XGBoost: A Scalable Tree Boosting System [PDF]
Knowledge Discovery and Data Mining, 2016 Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine
Tianqi Chen, Carlos Guestrin
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EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 We present EDA: easy data augmentation techniques for boosting performance on text classification tasks. EDA consists of four simple but powerful operations: synonym replacement, random insertion, random swap, and random deletion.
Jason Wei, Kai Zou
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Predicting the length of a post-accident absence in construction with boosted decision trees [PDF]
MATEC Web of Conferences, 2020 Work safety control and analysis of accidents during construction performance are one of the most important issues of construction management. The paper focuses on post-accident absence as an element of occupational safety management. Somehow, the length
Krawczyńska-Piechna Anna
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Spanish Journal of Agricultural Research, 2020 Aim of study: To predict genomic accuracy of binary traits considering different rates of disease incidence. Area of study: Simulation Material and methods: Two machine learning algorithms including Boosting and Random Forest (RF) as well as threshold ...
Yousef Naderi, Saadat Sadeghi
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A comparative analysis of gradient boosting algorithms [PDF]
Artificial Intelligence Review, 2019 The family of gradient boosting algorithms has been recently extended with several interesting proposals (i.e. XGBoost, LightGBM and CatBoost) that focus on both speed and accuracy.
Candice Bentéjac +2 more
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eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
Academic Journal of Nawroz University, 2023 The primary task of machine learning is to extract valuable information from the data that is generated every day, process it to learn from it, and take useful actions.
Zeravan Arif Ali +4 more
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