Results 11 to 20 of about 106,398 (294)
Condensed-gradient boosting [PDF]
International Journal of Machine Learning and CyberneticsAbstract This paper presents a computationally efficient variant of Gradient Boosting (GB) for multi-class classification and multi-output regression tasks. Standard GB uses a 1-vs-all strategy for classification tasks with more than two classes. This strategy entails that one tree per class and iteration has to be trained.
Seyedsaman Emami +1 more
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Infinitesimal gradient boosting
Stochastic Processes and their Applications, 2023 We define infinitesimal gradient boosting as a limit of the popular tree-based gradient boosting algorithm from machine learning. The limit is considered in the vanishing-learning-rate asymptotic, that is when the learning rate tends to zero and the number of gradient trees is rescaled accordingly.
Clément Dombry, Jean-Jil Duchamps
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ada: An R Package for Stochastic Boosting
Journal of Statistical Software, 2006 Boosting is an iterative algorithm that combines simple classification rules with ‘mediocre’ performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which
Mark Culp +2 more
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, 2021 Tiivistelmä. Tässä tutkielmassa käsitellään Gradient boosting algoritmia. Algoritmi käsittelee ohjatun oppimisen menetelmin läpi dataa ja pyrkii tekemään tämän avulla luotettavia ennusteita. Tutkielmassa käydään läpi yleisesti ohjattua oppimista ja päätöspuita sekä verrataan mahdollisia muita samankaltaisia menetelmiä.
Polviander, Oona
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Gradient Boosting Reinforcement Learning
CoRRto be published in the Forty-Second International Conference on Machine ...
Benjamin Fuhrer, Chen Tessler, Gal Dalal
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a critical role in various fields such as agriculture, hydrology, and land-atmosphere interactions. This study aims to evaluate the performance of the categorical boosting algorithm (CatBoost) in comparison to other multiple ...
Ya Gao +4 more
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Accurate Biometric Palm Print Recognition Using ResNet50 algorithm Over X Gradient Boosting Algorithm [PDF]
E3S Web of Conferences, 2023 The aim of this research is to enhance the accuracy of biometric palm print identification by using the Novel ResNet50 Algorithm as compared to the X Gradient Boosting. Materials and Methods: In this study, the ResNet50 and X Gradient Boosting algorithms
Kumar H. Kishore, Kumar S. Ashok
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AddGBoost: A gradient boosting-style algorithm based on strong learners
Machine Learning with Applications, 2022 We present AddGBoost, a gradient boosting-style algorithm, wherein the decision tree is replaced by a succession of (possibly) stronger learners, which are optimized via a state-of-the-art hyperparameter optimizer.
Moshe Sipper, Jason H. Moore
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Gradient boosted feature selection [PDF]
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014 A feature selection algorithm should ideally satisfy four conditions: reliably extract relevant features; be able to identify non-linear feature interactions; scale linearly with the number of features and dimensions; allow the incorporation of known sparsity structure.
Zhixiang Eddie Xu +3 more
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