Results 31 to 40 of about 248,031 (304)
Applied Sciences, 2021 Cross-frequency interactions, a form of oscillatory neural activity, are thought to play an essential role in the integration of distributed information in the brain.
Iván De La Pava Panche +4 more
doaj +1 more source
Hierarchic Bayesian models for kernel learning [PDF]
, 2005 The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance when compared to that obtained from any single data source.
Rogers, S. +3 more
core +1 more source
Rate-Distortion Bounds for Kernel-Based Distortion Measures
Entropy, 2017 Kernel methods have been used for turning linear learning algorithms into nonlinear ones. These nonlinear algorithms measure distances between data points by the distance in the kernel-induced feature space.
Kazuho Watanabe
doaj +1 more source
, 2003 Bayesian methods allow for a simple and intuitive representation of the function spaces used by kernel methods. This chapter describes the basic principles of Gaussian Processes, their implementation and their connection to other kernel-based Bayesian estimation methods, such as the Relevance Vector Machine.
Alexander J. Smola, Bernhard Schölkopf
openaire +2 more sources
Applying the possibilistic C-means algorithm in kernel-induced spaces [PDF]
, 2010 In this paper, we study a kernel extension of the classic possibilistic c-means. In the proposed extension, we implicitly map input patterns into a possibly high-dimensional space by means of positive semidefinite kernels. In this new space, we model the
Masulli, F. +5 more
core +1 more source
Predicting Pharmaceutical Particle Size Distributions Using Kernel Mean Embedding
Pharmaceutics, 2020 In the pharmaceutical industry, the transition to continuous manufacturing of solid dosage forms is adopted by more and more companies. For these continuous processes, high-quality process models are needed.
Daan Van Hauwermeiren +3 more
doaj +1 more source
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2022 The problem of regression model building of equipment failure rate using datasets containing information on number of failures of recoverable systems and measurements of technological and operational factors affecting the reliability of production system
Olena Akhiiezer +3 more
doaj +1 more source
eLife, 2017 Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations; however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain
Dorottya Cserpán +6 more
doaj +1 more source
Frontiers in Genetics, 2019 Deep learning (DL) is a promising method for genomic-enabled prediction. However, the implementation of DL is difficult because many hyperparameters (number of hidden layers, number of neurons, learning rate, number of epochs, batch size, etc.) need to ...
José Crossa +8 more
doaj +1 more source
Diagnostics, 2023 This paper uses EEG data to introduce an approach for classifying right and left-hand classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity Network (KCS-FCnet) method addresses these limitations by providing richer ...
Daniel Guillermo García-Murillo +2 more
doaj +1 more source