Výsledky vyhľadávania - "boosting algorithms"

A comparative analysis of gradient boosting algorithms Autor Bentéjac, Candice, Csörgő, Anna, Martínez-Muñoz, Gonzalo

“…The family of gradient boosting algorithms has been recently extended with several interesting proposals (i.e…”
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The evolution of boosting algorithms. From machine learning to statistical modelling Autor Mayr, A, Binder, H, Gefeller, O, Schmid, M

“… This general concept was later adapted to the field of statistical modelling. Nowadays, boosting algorithms are often applied to estimate and select predictor effects in statistical regression models…”
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Diabetes classification model based on boosting algorithms Autor Chen, Peihua, Pan, Chuandi

“… Two common boosting algorithms, Adaboost.M1 and LogitBoost, are selected to establish a machine model for diabetes diagnosis based on these clinical test data, involving a total of 35,669 individuals…”
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Student Profile Modeling Using Boosting Algorithms Autor Hamim, Touria, Benabbou, Faouzia, Sael, Nawal

“… In this paper, the authors present a comparative study between different boosting algorithms which have been used successfully in many fields and for many purposes…”
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Boosting algorithms in energy research: a systematic review Autor Tyralis, Hristos, Papacharalampous, Georgia

“… Boosting algorithms are characterized by both high flexibility and high interpretability…”
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Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment Autor Costache, Romulus, Pham, Quoc Bao, Avand, Mohammadtaghi, Thuy Linh, Nguyen Thi, Vojtek, Matej, Vojteková, Jana, Lee, Sunmin, Khoi, Dao Nguyen, Thao Nhi, Pham Thi, Dung, Tran Duc

“…Across the world, the flood magnitude is expected to increase as well as the damage caused by their occurrence. In this case, the prediction of areas which are…”
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A comprehensive intrusion detection framework using boosting algorithms Autor Kilincer, Ilhan Firat, Ertam, Fatih, Sengur, Abdulkadir

“…•A new cyber security intrusion detection dataset (CCiDD) has been created by performing various scenarios with today's widely used attack methods and internet…”
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Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping Autor Sahin, Emrehan Kutlug

“…The aim of the study is to compare four recent gradient boosting algorithms named as Gradient Boosting Machine (GBM…”
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Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost Autor Demir, Selçuk, Sahin, Emrehan Kutlug

“…Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines and buildings has been widely reported in recent earthquakes…”
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Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost Autor Shahraki, Amin, Abbasi, Mahmoud, Haugen, Øystein

“…Computer networks have been experienced ever-increasing growth since they play a critical role in different aspects of human life. Regarding the…”
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Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy Autor Li, Yanfei, Shi, Huipeng, Han, Fengze, Duan, Zhu, Liu, Hui

“…), Elman Neural Networks (ENN), boosting algorithms and Wavelet Packet Filter (WPF). The novelty of the study is to investigate the big multi-step wind speed…”
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Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings Autor Sahour, Hossein, Gholami, Vahid, Torkaman, Javad, Vazifedan, Mehdi, Saeedi, Sirwe

“…Monitoring temporal variation of streamflow is necessary for many water resources management plans, yet, such practices are constrained by the absence or…”
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On the Dual Formulation of Boosting Algorithms Autor Shen, Chunhua, Li, Hanxi

“…We study boosting algorithms from a new perspective. We show that the Lagrange dual problems of ℓ…”
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Hybrid boosting algorithms and artificial neural network for wind speed prediction Autor Dosdoğru, Ayşe Tuğba, Boru İpek, Aslı

“…Energy sources are an important foundation for national economic growth. The future of energy sources depend on the energy controls. The reserves of fossil…”
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Cost-sensitive boosting algorithms: Do we really need them? Autor Nikolaou, Nikolaos, Edakunni, Narayanan, Kull, Meelis, Flach, Peter, Brown, Gavin

“…We provide a unifying perspective for two decades of work on cost-sensitive Boosting algorithms…”
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Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India Autor Saravanan, Subbarayan, Abijith, Devanantham, Reddy, Nagireddy Masthan, KSS, Parthasarathy, Janardhanam, Niraimathi, Sathiyamurthi, Subbarayan, Sivakumar, Vivek

“…Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural disaster. The objective of this study is to develop flood…”
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Boosting algorithms for predicting end-point temperature in BOF steelmaking using big industrial datasets: Boosting algorithms for predicting end-point temperature in BOF steelmaking using big industrial datasets Autor Zhang, Jian-bo, Khaksar Ghalati, Maryam, Fu, Jun, Yang, Xiao-an, El-Fallah, G.M.A.M., Dong, Hong-biao

“… dataset sizes and the underutilization of boosting algorithms. Utilizing a substantial dataset containing over 20,000 heats, significantly bigger than those in…”
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Using boosting algorithms to predict bank failure: An untold story Autor Pham, Xuan T.T., Ho, Tin H.

“…From a modeling point of view, our work provides a novel approach to better use XGBoost for bank failure prediction, determining the essential technical…”
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Improving the prediction of global solar radiation using interpretable boosting algorithms coupled SHAP and LIME analysis: a comparative study: Improving the prediction of global solar radiation using interpretable boosting algorithms coupled SHAP and LIME analysis: a comparative study Autor Merabet, Khaled, Daif, Noureddine, Di Nunno, Fabio, Granata, Francesco, Difi, Salah, Kisi, Ozgur, Heddam, Salim, Kim, Sungwon, Zounemat-Kermani, Mohammad

“… For these reasons, the present study was oriented toward the development of robust ML models based on boosting algorithms and enhanced using SHapley Addictive exPlanations (SHAP…”
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Using interpretable boosting algorithms for modeling environmental and agricultural data Autor Obster, Fabian, Heumann, Christian, Bohle, Heidi, Pechan, Paul

“…We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data…”
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