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Temperature-Based Deep Boltzmann Machines
(Springer, 2018-08-01)
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-based user identification. Despite other ...
O Pluralismo teórico em Ludwig Boltzmann
(Instituto de Físicaem Ensino, Filosofia e História das CiênciasUFBABrasil, 2019-05-31)
A figura de Ludwig Eduard Boltzmann, físico austríaco do século XIX, é reconhecida pelas suas grandes contribuições na Termodinâmica, Eletromagnetismo e na Teoria Cinética dos Gases, sendo reconhecido como um dos pais ...
Small data existence for the Boltzmann equation in L1*Existencia de soluciones para la ecuación de Boltzmann en L1 con dato pequeño
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2012)
kappa-Entropy Based Restricted Boltzmann Machines
(Ieee, 2019-01-01)
Restricted Boltzmann Machines achieved notorious popularity in the scientific community in the last decade due to outstanding results in a wide range of applications and also for providing the required mechanisms to build ...
κ-Entropy Based Restricted Boltzmann Machines
(2019-07-01)
Restricted Boltzmann Machines achieved notorious popularity in the scientific community in the last decade due to outstanding results in a wide range of applications and also for providing the required mechanisms to build ...
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines
(Elsevier B.V., 2020-12-01)
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings ...
Lattice Boltzmann method for direct numerical simulation of viscoplastic turbulent flow
(Universidade Tecnológica Federal do ParanáCuritibaBrasilPrograma de Pós-Graduação em Engenharia Mecânica e de MateriaisUTFPR, 2020-12-18)
Turbulent flows of viscoplastic fluids are present in a number of industrial applications. However, the development of simulation methods and models for non-Newtonian turbulence are still in its early days. In this thesis, ...
Interactive parallel fluid solver using the Lattice-Boltzmann method and CUDA
(Universidad EAFITIngeniería de SistemasEscuela de Ingeniería. Departamento de Ingeniería de Sistemas, 2010)
Particle methods have been gaining momentum in the Computational Fluid Dynamics world, for their computational simplicity and inherent parallelism -- This has lead the field to jump to new hardware technologies that exploit ...