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Gradient boosting factorization machines
Proceedings of the 8th ACM Conference on Recommender systems, 2014Recommendation techniques have been well developed in the past decades. Most of them build models only based on user item rating matrix. However, in real world, there is plenty of auxiliary information available in recommendation systems. We can utilize these information as additional features to improve recommendation performance.
Chen Cheng +4 more
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2018
So far, we’ve considered decision trees and random forest algorithms. We saw that random forest is a bagging (bootstrap aggregating) algorithm—it combines the output of multiple decision trees to give the prediction. Typically, in a bagging algorithm trees are grown in parallel to get the average prediction across all trees, where each tree is built on
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So far, we’ve considered decision trees and random forest algorithms. We saw that random forest is a bagging (bootstrap aggregating) algorithm—it combines the output of multiple decision trees to give the prediction. Typically, in a bagging algorithm trees are grown in parallel to get the average prediction across all trees, where each tree is built on
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Epistasis detection using a permutation-based Gradient Boosting Machine
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016Detecting single nucleotide polymorphism (SNP) epistasis contributes to understand disease susceptibility and discover disease pathogenesis underlying complex disease. In this paper, we propose an approach called permutation-based Gradient Boosting Machine (pGBM) to detect pure epistasis by estimating the power of a GBM classifier which is influenced ...
Kai Che +5 more
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Pretrained Intelligence with Gradient Boosting Machine on AWS
2018What makes a top-rated wine? Find out with a hard-to-resist real-time web dashboard on Amazon Web Services.
Manuel Amunategui, Mehdi Roopaei
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Machine Unlearning in Gradient Boosting Decision Trees
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023Huawei Lin 0001 +3 more
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Deep learning versus gradient boosting machine for pan evaporation prediction
Engineering Applications of Computational Fluid Mechanics, 2022Samed Inyurt +2 more
exaly
HardGBM: A Framework for Accurate and Hardware-Efficient Gradient Boosting Machines
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023Hongfei Wang +4 more
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