Results 21 to 30 of about 100,154 (263)

Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods [PDF]

open access: yes, 2012
Neumann K, Emmerich C, Steil JJ. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 2012;4(3):230-246.Neural networks based on high-dimensional
Emmerich, Christian   +2 more
core   +1 more source

Visco-elastic regularization and strain softening [PDF]

open access: yes, 2006
In this paper it is intended to verify the capacity of regularization of the numerical solution of an elasto-plastic problem with linear strain softening. The finite element method with a displacement approach is used.
Silva, V. D.   +5 more
core   +1 more source

On Mixup Regularization

open access: yesCoRR, 2020
Mixup is a data augmentation technique that creates new examples as convex combinations of training points and labels. This simple technique has empirically shown to improve the accuracy of many state-of-the-art models in different settings and applications, but the reasons behind this empirical success remain poorly understood. In this paper we take a
Luigi Carratino   +3 more
openaire   +5 more sources

Regularized CNN Feature Hierarchy for Hyperspectral Image Classification

open access: yesRemote Sensing, 2021
Convolutional Neural Networks (CNN) have been rigorously studied for Hyperspectral Image Classification (HSIC) and are known to be effective in exploiting joint spatial-spectral information with the expense of lower generalization performance and ...
Muhammad Ahmad   +2 more
doaj   +1 more source

Regular Partitions of Regular Graphs [PDF]

open access: yesCanadian Mathematical Bulletin, 1978
In the study of the combinatorial structure of edge-graphs of convex polytopes one may ask whether a given graph possesses a partition consisting of certain kinds of subgraphs.In this paper we describe some special partitions of 3-valent and 4-valent graphs.
openaire   +2 more sources

Error Estimations for Total Variation Type Regularization

open access: yesMathematics, 2021
This paper provides several error estimations for total variation (TV) type regularization, which arises in a series of areas, for instance, signal and imaging processing, machine learning, etc.
Kuan Li, Chun Huang, Ziyang Yuan
doaj   +1 more source

Regular packings of regular graphs

open access: yesDiscrete Mathematics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amauri Gutiérrez, Anna S. Lladó
openaire   +2 more sources

Regularization for design

open access: yes53rd IEEE Conference on Decision and Control, 2014
When designing controllers for large-scale systems, the architectural aspects of the controller such as the placement of actuators, sensors, and the communication links between them can no longer be taken as given. The task of designing this architecture is now as important as the design of the control laws themselves.
Matni, Nikolai, Chandrasekaran, Venkat
openaire   +5 more sources

Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions [PDF]

open access: yes, 2008
Boosting is one of the most important methods for fitting regression models and building prediction rules from high-dimensional data. A notable feature of boosting is that the technique has a built-in mechanism for shrinking coefficient estimates and
Potapov, Sergej   +3 more
core   +1 more source

Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Satellite soil moisture and vegetation optical depth [(VOD); related to the total vegetation water mass per unit area] are increasingly being used to study water relations in the soil-plant continuum across the globe.
Andrew Feldman   +2 more
doaj   +1 more source

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