Results 51 to 60 of about 283,145 (183)
Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques [PDF]
SSRN Electronic Journal, 2019 The 2007-09 financial crisis revealed that the investors in the financial market were more concerned about the future as opposed to the current capital adequacies for banks. Stress testing promises to complement the regulatory capital adequacy regimes, which assess a bank’s current capital adequacy, with the ability to assess its future capital ...
Brummelhuis, Raymond, Luo, Zhongmin
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IEEE Journal of the Electron Devices Society, 2022 A new parameter optimization method using zoomed response surface (RS) is proposed for automatic design of low-voltage power MOSFET. Low-voltage MOSFET characteristics have been improved continuously considering with not only low power loss but also low ...
Wataru Saito, Shin-Ichi Nishizawa
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Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
, 2019 The new generation of machine learning processors have evolved from multi-core and parallel architectures that were designed to efficiently implement matrix-vector-multiplications (MVMs). This is because at the fundamental level, neural network and machine learning operations extensively use MVM operations and hardware compilers exploit the inherent ...
M., Nazreen P. +2 more
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Study Comparison Deep Learning and Support Vector Machine for Face Mask Detection
Aceh International Journal of Science and TechnologyDeep Learning (DL) and Support Vector Machine (SVM) was used for a plethora number of researches lately. Deep Learning works by representing data in layers of learning layers so that the representation becomes more meaningful, and Support Vector Machine ...
Rani Kurnia Putri, Muhammad Athoillah*
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Estimating weather margin seasonality in shipping using machine learning
, 2021 Accurate predictions of fuel consumption are an essential tool in the pricing of forward cargo contracts. This thesis develops a predictive model for fuel consumption using noon report data from Handysize and Supramax vessels. In the process, we employ a wide selection of machine learning algorithms, including decision trees, shrinkage models, and an ...
Nilsson, Joakim, Nilsson, Marcus
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Journal of Innovative Optical Health SciencesGastric cancer, including stomach tumors, poses significant health challenges due to late-stage diagnosis and limited early detection methods. Accurate imaging and precise tumor margin demarcation are critical for effective treatment planning and ...
Mohamed Nijas Veluthedath +5 more
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Understanding Generalization in Quantum Machine Learning with Margins
Understanding and improving generalization capabilities is crucial for both classical and quantum machine learning (QML). Recent studies have revealed shortcomings in current generalization theories, particularly those relying on uniform bounds, across both classical and quantum settings. In this work, we present a margin-based generalization bound for
Hur, Tak, Park, Daniel K.
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Exporting and productivity as part of the growth process: causal evidence from a data-driven structural VAR [PDF]
, 2019 This paper introduces a little known category of estimators - Linear Non-Gaussian vector autoregression models that are acyclic or cyclic - imported from the machine learning literature, to revisit a well-known debate.
Ciarli, Tommaso +2 more
core
GeomaticsRapid and accurate landslide detection is important for minimizing loss of life and property. Supervised machine learning has shown promise for automating landslide mapping, but it often requires thousands of labeled instances, which is impractical for ...
Jing Miao +4 more
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APL PhotonicsThe precise determination of surgical margins is essential for the management of multifocal cutaneous cancers, including extramammary Paget’s disease.
Wenhua Su +9 more
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