Results 21 to 30 of about 87,026 (282)
Frontiers in Materials, 2022 It is evident that preparing materials, casting samples, curing, and testing all need time and money. The construction sector will benefit if these problems can be handled using cutting-edge techniques like machine learning. Also, a material’s ultrasonic
Kaffayatullah Khan +5 more
doaj +1 more source
A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
IEEE Access, 2022 Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models.
Ibomoiye Domor Mienye, Yanxia Sun
doaj +1 more source
QUIC Network Traffic Classification Using Ensemble Machine Learning Techniques
Applied Sciences, 2023 The Quick UDP Internet Connections (QUIC) protocol provides advantages over traditional TCP, but its encryption functionality reduces the visibility for operators into network traffic.
Sultan Almuhammadi +2 more
doaj +1 more source
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
Boosting insights in insurance tariff plans with tree-based machine learning methods [PDF]
, 2020 Pricing actuaries typically operate within the framework of generalized linear models (GLMs). With the upswing of data analytics, our study puts focus on machine learning methods to develop full tariff plans built from both the frequency and severity of ...
Antonio, Katrien +3 more
core +1 more source
Tweedie gradient boosting for extremely unbalanced zero-inflated data [PDF]
Communications in Statistics - Simulation and Computation, 2020 Tweedie's compound Poisson model is a popular method to model insurance claims with probability mass at zero and nonnegative, highly right-skewed distribution. In particular, it is not uncommon to have extremely unbalanced data with excessively large proportion of zero claims, and even traditional Tweedie model may not be satisfactory for fitting the ...
Zhou, He, Yang, Yi, Qian, Wei
openaire +2 more sources
Atmosphere, 2023 Machine learning algorithms are applied to predict intense wind shear from the Doppler LiDAR data located at the Hong Kong International Airport. Forecasting intense wind shear in the vicinity of airport runways is vital in order to make intelligent ...
Afaq Khattak +3 more
doaj +1 more source
The effect of google drive distance and duration in residential property in Sydney, Australia [PDF]
, 2016 © 2016 by World Scientific Publishing Co. Pte. Ltd. Predicting the market value of a residential property accurately without inspection by professional valuer could be beneficial for vary of organization and people.
Asgari, P, Behbood, V, Lu, J, Nejad, MZ
core +1 more source
Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing
2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020 Recently, Google and other 24 institutions proposed a series of open challenges towards federated learning (FL), which include application expansion and homomorphic encryption (HE). The former aims to expand the applicable machine learning models of FL. The latter focuses on who holds the secret key when applying HE to FL.
LIU, Yang +6 more
openaire +3 more sources
Frontiers in Earth Science, 2021 Landslides are widely distributed worldwide and often result in tremendous casualties and economic losses, especially in the Loess Plateau of China.
Shibao Wang +5 more
doaj +1 more source