Results 21 to 30 of about 32,654 (268)
Ensemble machine learning approaches for fake news classification
Радіоелектронні і комп'ютерні системи, 2023 In today’s interconnected digital landscape, the proliferation of fake news has become a significant challenge, with far-reaching implications for individuals, institutions, and societies.
Halyna Padalko +3 more
doaj +1 more source
Human action recognition method based on multi-view semi-supervised ensemble learning
网络与信息安全学报, 2021 Mass labeled data are hard to get in mobile devices. Inadequate training leads to bad performance of classifiers in human action recognition. To tackle this problem, a multi-view semi-supervised ensemble learning method was proposed.
CHEN Shengnan, FAN Xinmin
doaj +1 more source
Travel Time Prediction using Tree-Based Ensembles
, 2020 In this paper, we consider the task of predicting travel times between two arbitrary points in an urban scenario. We view this problem from two temporal perspectives: long-term forecasting with a horizon of several days and short-term forecasting with a ...
B Yu +12 more
core +1 more source
Small Aerial Target Detection for Airborne Infrared Detection Systems Using LightGBM and Trajectory Constraints [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingFactors, such as rapid relative motion, clutter background, etc., make robust small aerial target detection for airborne infrared detection systems a challenge. Existing methods are facing difficulties when dealing with such cases.
Xiaoliang Sun +4 more
semanticscholar +1 more source
Visual diagnosis of tree boosting methods [PDF]
, 2018 Tree boosting, which combines weak learners (typically decision trees) to generate a strong learner, is a highly effective and widely used machine learning method.
Liu, Junlin +5 more
core +1 more source
International Journal of Machine Learning and CyberneticsThe protection of borders is a critical concern for all countries, and Wireless Sensor Networks (WSNs) play a crucial role in assuring security by enabling intrusion detection and surveillance at border regions.
K. Ileri
semanticscholar +1 more source
Dianxin kexue随着经济的发展和一线城市生活压力的增大，越来越多的人迁移城市以及返回家乡发展，为了高效服务用户和提升用户产品使用体验，提出基于LightGBM、CatBoost等算法来预测返乡发展人群，并进行了异构模型融合。通过模型对比，所提融合模型有更好的效果，可以为服务和产品提供依据，减少流失优化感知，提高市场保有率。
杜昭1, 谢国城2, 陈静旋2, 张伟斌1
doaj +1 more source
A comparative classification framework using PCA and modified PCA with ensemble and kernel-based learning models for mangrove feature analysis [PDF]
BIO Web of ConferencesHyperspectral image (HSI) classification remains challenging due to high spectral dimensionality, redundancy among bands, and limited labeled samples, particularly in high–spatial-resolution agricultural and coastal environments.
Saha Chowdhury Arpita +2 more
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UWB Wireless Positioning Method Based on LightGBM
Wireless Personal Communications, 2023 Abstract In the ultra-wideband indoor positioning sceneraio, the non-line of sight (NLOS) propagation may be caused by obstacles, which may lead to the deviation of ranging value and affect the positioning precision. Therefore, we propose a NLOS identification and error regression positioning algorithm based on light gradient boosting machine ...
Xuerong Cui +5 more
openaire +1 more source
Machine Learning at Microsoft with ML .NET
, 2019 Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for ...
Ahmed, Zeeshan +33 more
core +1 more source