Results 1 to 10 of about 224,408 (267)
Remote Sensing, 2021 In recent years, several powerful machine learning (ML) algorithms have been developed for image classification, especially those based on ensemble learning (EL).
Hamid Jafarzadeh +2 more
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Political Media Discourse as an Interactional Space: Presidential TV Addresses to the Nation from a Metadiscourse Perspective [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2023 The study of political media discourse as an interactional space requires an analysis of not only its linguistic characteristics and propositional content but also its metadiscourse component, strategies employed to express speaker’s attitudes and ...
Olga А. Boginskaya
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Endogenous Mechanisms of Neuroprotection: To Boost or Not to Be [PDF]
Cells, 2021 Postmitotic cells, like neurons, must live through a lifetime. For this reason, organisms/cells have evolved with self-repair mechanisms that allow them to have a long life. The discovery workflow of neuroprotectors during the last years has focused on blocking the pathophysiological mechanisms that lead to neuronal loss in neurodegeneration ...
Sara Marmolejo-Martínez-Artesero +2 more
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To Boost or not to Boost: On the Limits of Boosted Neural Networks
CoRR, 2021 Boosting is a method for finding a highly accurate hypothesis by linearly combining many ``weak" hypotheses, each of which may be only moderately accurate. Thus, boosting is a method for learning an ensemble of classifiers. While boosting has been shown to be very effective for decision trees, its impact on neural networks has not been extensively ...
Sai Saketh Rambhatla +2 more
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To boost or not to boost? On the limits of boosted trees for object detection [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 ICPR, December 2016. Added WIDER FACE test results (Fig. 5)
Eshed Ohn-Bar, Mohan M. Trivedi
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Predicting the length of a post-accident absence in construction with boosted decision trees [PDF]
MATEC Web of Conferences, 2020 Work safety control and analysis of accidents during construction performance are one of the most important issues of construction management. The paper focuses on post-accident absence as an element of occupational safety management. Somehow, the length
Krawczyńska-Piechna Anna
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Spanish Journal of Agricultural Research, 2020 Aim of study: To predict genomic accuracy of binary traits considering different rates of disease incidence. Area of study: Simulation Material and methods: Two machine learning algorithms including Boosting and Random Forest (RF) as well as threshold ...
Yousef Naderi, Saadat Sadeghi
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LDA boost classification: boosting by topics [PDF]
EURASIP Journal on Advances in Signal Processing, 2012 AdaBoost is an efficacious classification algorithm especially in text categorization (TC) tasks. The methodology of setting up a classifier committee and voting on the documents for classification can achieve high categorization precision. However, traditional Vector Space Model can easily lead to the curse of dimensionality and feature sparsity ...
Lei La, Qiao Guo, Qimin Cao, Qitao Li
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Boosted horizon of a boosted spacetime geometry [PDF]
The Fourteenth Marcel Grossmann Meeting, 2017 prepared for the ES3 (Exact Solutions (Physical Aspects)) session of the MG14 Conference, Rome, July ...
BATTISTA E +3 more
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MPSUBoost: A Modified Particle Stacking Undersampling Boosting Method
IEEE Access, 2022 Class imbalance problems are prevalent in the real world. In such cases, traditional supervised algorithms tend to have difficulty in recognizing minority data because the models are likely to maximize prediction accuracy by simply ignoring minority data.
Sang-Jin Kim, Dong-Joon Lim
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