Results 11 to 20 of about 21,160 (284)
Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition
Frontiers in Computer Science, 2021 Human emotion recognition is an important issue in human–computer interactions, and electroencephalograph (EEG) has been widely applied to emotion recognition due to its high reliability.
Weili Guo +6 more
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BMC Medical Informatics and Decision Making, 2023 Background The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs.
Alexander Olza +2 more
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Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs [PDF]
, 2006 Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc.
A. R. Barron +38 more
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Influence Area of Overlap Singularity in Multilayer Perceptrons
IEEE Access, 2018 The existing overlap singularities in the parameter space significantly affect the learning dynamics of the multilayer perceptrons. From the obtained theoretical learning trajectories near overlap singularity, when the learning process has been affected ...
Weili Guo +6 more
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A pragmatic approach to multi-class classification [PDF]
, 2015 We present a novel hierarchical approach to multi-class classification which is generic in that it can be applied to different classification models (e.g., support vector machines, perceptrons), and makes no explicit assumptions about the probabilistic ...
Gepperth, Alexander +3 more
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Ekológia (Bratislava), 2017 The ice cover on lakes is one of the most influential factors in the lakes’ winter aquatic ecosystem. The paper presents a method for predicting ice coverage of lakes by means of multilayer perceptrons.
Baklagin Nikolaevich Vyacheslav
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IEEE Open Journal of Circuits and Systems, 2021 With the growing demand for deploying Deep Learning models to the “edge”, it is paramount to develop techniques that allow to execute state-of-the-art models within very tight and limited resource constraints.
Simon Wiedemann +6 more
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Replica Symmetry Breaking and the Kuhn-Tucker Cavity Method in simple and multilayer Perceptrons [PDF]
, 1996 Within a Kuhn-Tucker cavity method introduced in a former paper, we study optimal stability learning for situations, where in the replica formalism the replica symmetry may be broken, namely (i) the case of a simple perceptron above the critical ...
D- Gottingen, F. Gerl, U. Kreyß
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Neural model for calculating the bearing capacity of driven and bored piles [PDF]
REM: International Engineering JournalPredicting the pile’s bearing capacity still represents a significant challenge in Geotechnical Engineering, since it requires the knowledge of soil parameters and the soil-pile interaction mechanism during and after foundation execution.
Juliele Nascimento Jesus +2 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019 The aim of this article was to compare the influence of the data pre-processing methods – normalization and standardization – on the results of the classification of spongy tissue images.
Róża Dzierżak
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