Results 41 to 50 of about 676,335 (182)
Assessing the behavior of machine learning methods to predict the activity of antimicrobial peptides
Revista Facultad de Ingeniería, 2016 This study demonstrates the importance of obtaining statistically stable results when using machine learning methods to predict the activity of antimicrobial peptides, due to the cost and complexity of the chemical processes involved in cases where ...
Francy Liliana Camacho +2 more
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, 2001 In a previous letter, we studied learning from stochastic examples by perceptrons with Ising weights in the framework of statistical mechanics. Under the one-step replica symmetry breaking ansatz, the behaviours of learning curves were classified ...
Amari S. +12 more
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Long-Term Projection of Renewable Energy Technology Diffusion
Energies, 2019 The EU aims at increasing the use of renewable energy sources (RES), mainly solar-photovoltaic (PV) and wind technologies. Projecting the future, in this respect, requires a long-term energy modeling which includes a rate of diffusion of novel ...
Tadeusz Skoczkowski +2 more
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Mitral Valve Surgical Treatment with Mini-Invasive Access (Five-Year Results)
Український журнал серцево-судинної хірургіїIn the world, minimally invasive mitral valve surgery (MIMVS) has a recognized role in the surgical treatment of mitral valve (MV) diseases, however, this technique has not yet been widely used in our country. Due to the lack of clear clinical guidelines
Vasyl V. Fylypchuk +1 more
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Impact of endogenous learning curves on maritime transition pathways
Environmental Research LettersThe maritime industry is a crucial hard-to-abate sector that is expected to depend on high-energy density renewable liquid fuels in the future. Traditionally, decarbonization pathways have been assessed assuming exogenous cost trajectories for renewable ...
Sebastian Franz, Rasmus Bramstoft
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Alternative Typing Learning Curves
Undergraduate Journal of Mathematical Modeling: One + Two, 2017 Typing is a part of everyday life for many people. However some people have difficulty in doing it. For example, for people who are blind and those who have carpal tunnel or cerebral palsy, a standard keyboard would not be effective to type.
Marcel Kreuzer
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Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
, 2010 Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovered that the asymptotic learning curves in Bayes estimation are subject to a
Bernstein I N +10 more
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Systematic review of learning curves in robot‐assisted surgery
BJS Open, 2020 Background Increased uptake of robotic surgery has led to interest in learning curves for robot‐assisted procedures. Learning curves, however, are often poorly defined. This systematic review was conducted to identify the available evidence investigating
N. A. Soomro +6 more
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Learning curves for the multi-class teacher–student perceptron
Machine Learning: Science and Technology, 2023 One of the most classical results in high-dimensional learning theory provides a closed-form expression for the generalisation error of binary classification with a single-layer teacher–student perceptron on i.i.d. Gaussian inputs. Both Bayes-optimal (BO)
Elisabetta Cornacchia +5 more
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An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves
, 2019 Within the last years, the classification of variable stars with Machine Learning has become a mainstream area of research. Recently, visualization of time series is attracting more attention in data science as a tool to visually help scientists to ...
Catelán, Márcio +3 more
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