Results 21 to 30 of about 126,268 (270)

Detecting Music Genre Using Extreme Gradient Boosting [PDF]

Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018
This paper summarizes our contribution to the CrowdAI music genre classification challenge "Learning to Recognise Musical Genre from Audio on the Web'' as part of the WebConference 2018. We utilize different approaches from the field of music analysis to predict the music genre of given mp3 music files, including a convolutional neural network for ...
Benjamin Murauer, Günther Specht
openaire   +1 more source

Rainfall prediction using Extreme Gradient Boosting

Journal of Physics: Conference Series, 2021
Abstract Rainfall greatly affects human life in various sectors including agriculture, transportation, etc. and also can affect natural disasters such as drought, floods, and landslides. This situation prompts us to build an accurate rainfall prediction model so that prescriptive measures can be made.
M T Anwar, E Winarno, W Hadikurniawati, M Novita   +3 more
openaire   +1 more source

LOAN APPROVAL PREDICTION USING LOGISTIC REGRESSION AND EXTREME GRADIENT BOOSTING ALGORITHMS [PDF]

, 2022
In the savings and loan business or banking, it is very important to determine whether the borrower is able to pay or cannot repay the loan. This is very necessary in order to avoid losses.
TING, YESICA SUGIARTO
core  

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, Ziyad H. Abduljabbar, Hanan A. Tahir, Amira Bibo Sallow, Saman M. Almufti   +4 more
semanticscholar   +1 more source

Accurately Predicting Mutation-Caused Stability Changes from Protein Sequences Using Extreme Gradient Boosting

, 2020
Accurately predicting the impact of point mutation on protein stability has crucial roles in protein design and engineering. In this study, we proposed a novel method (BoostDDG) to predict stability changes upon point mutations from protein sequences ...
Lv, Xuan, Lu, Yutong, Chen, Zhiguang, Chen, Jianwen, Xiao, Nong, Yang, Yuedong   +5 more
core   +1 more source

Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction

Sustainability, 2022
Accurate building construction cost prediction is critical, especially for sustainable projects (i.e., green buildings). Green building construction contracts are relatively new to the construction industry, where stakeholders have limited experience in ...
Odey Alshboul, Ali Shehadeh, G. Almasabha, A. Almuflih   +3 more
semanticscholar   +1 more source

Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting

, 2020
For permissions, please e-mail: journals.permissions@oup.com Motivation: RNA secondary structure plays a vital role in fundamental cellular processes, and identification of RNA secondary structure is a key step to understand RNA functions.
Xiao, N, Rao, J, Ke, Y, Jiahua Rao, Yutong Lu, Lu, Y, Yuedong Yang, Huiying Zhao, Zhao, H, Yang, Y, Nong Xiao, Yaobin Ke   +11 more
core   +1 more source

Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models

International Journal of Pavement Engineering, 2022
Resilient modulus ($M_R$MR) plays the most critical role in the evaluation and design of flexible pavement foundations. $M_R$MR is utilised as the principal parameter for representing stiffness and behaviour of flexible pavement foundation in ...
Reza Sarkhani Benemaran, M. Esmaeili‐Falak, A. Javadi   +2 more
semanticscholar   +1 more source

Rainfall Prediction using Extreme Gradient Boosting

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Rainfall greatly affects human life in various sectors including agriculture, transportation, etc. and also can affect natural disasters such as drought, floods, and landslides. This situation prompts us to build an accurate rainfall prediction model so that prescriptive measures can be made.
Abhinav Kulkarni, Shaikh Adil, Pingalkar Venkatesh, Rajas Uchagaonkar, Prof. S.S. Kolte   +4 more
openaire   +1 more source

Credit Risk Analysis With Extreme Gradient Boosting and Adaptive Boosting Algorithm

Journal of Information System,Graphics, Hospitality and Technology, 2023
Credit Risk Analysis digunakan untuk mengenali resiko terhadap pinjaman untuk mencegah penunggakan pembayaran utang. Pemberian uji kelayakan pinjaman dapat di analisis menggunakan model klasifikasi. Untuk menghasilkan model credit risk analysis yang sesuai, penulis mengajukan Algoritma Extreme Gradient Boosting (XGBoost) dan Adaptive Boosting (AdaBoost)
Rosa Delima Mendrofa, Maria Hosianna Siallagan, Junita Amalia, Diana Pebrianty Pakpahan   +3 more
openaire   +1 more source