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Boltzmann machine
A Boltzmann machine is a type of stochastic recurrent neural network and Markov Random Field invented by Geoffrey Hinton and Terry Sejnowski in 1985…
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Artificial intelligence
Artificial neural network
Backpropagation
Computer vision
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Papers overview
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2015
2015
Electrothermal Transport in Silicon Carbide Semiconductors via a Hydrodynamic Model
O. Muscato
,
V. Stefano
SIAM Journal on Applied Mathematics
2015
Corpus ID: 33523375
A hydrodynamic model describing the electron transport in silicon carbide semiconductors, coupled with the heating of the crystal…
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2015
2015
Laws of Heat Radiation from Surfaces and Gas Volumes
A. Makarov
2015
Corpus ID: 55392283
It is proven that the law of radiation from solid bodies, Stefan-Boltzmann law shall not be used to calculate heat radiation from…
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2010
2010
Wealth Redistribution in Boltzmann-like Models of Conservative Economies
G. Toscani
,
C. Brugna
2010
Corpus ID: 73587043
One of the goals of Boltzmann-like models for wealth distribution in conservative economies is to predict the stationary…
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2007
2007
Comparing the adaptive Boltzmann selection schedule SDS to truncation selection
T. Mahnig
2007
Corpus ID: 15376851
FDA (the Factorized Distribution Algorithm) is an evolutionar y algorithm that combines mutation and recombination by usi ng a…
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2007
2007
Characterization of a Ferroelectric Atmospheric Pressure Plasma Source
D. Sullivan
,
M. Kemp
,
S. Kovaleski
IEEE Transactions on Plasma Science
2007
Corpus ID: 30872241
A ferroelectric atmospheric pressure plasma source has been characterized. An RF electric field, with a frequency between 190 and…
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1999
1999
Non-equilibrium effects in pulse modulated induction thermal plasma for advanced material processing
T. Sakuta
,
T. Ishigaki
1999
Corpus ID: 55734380
Abstract
1996
1996
Non-standard thermal statistics with q-entropies
G. Guerberoff
,
Pedro A. Pury
,
G. A. Raggio
1996
Corpus ID: 55367232
We consider the quantum thermal statistics a la Gibbs–Shannon–Szilard–Jaynes based on q‐entropies Sq[ρ]=(q−1)−1(1−tr(ρq)) (0<q≠1…
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1994
1994
Block placement with a Boltzmann Machine
A. D. Gloria
,
P. Faraboschi
,
M. Olivieri
IEEE Trans. Comput. Aided Des. Integr. Circuits…
1994
Corpus ID: 41567197
The Boltzmann Machine is a neural model based on the same principles of simulated annealing that reaches good solutions, reduces…
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1993
1993
Estimating A-Posteriori Probabilities using Stochastic Network Models
M. Finke
1993
Corpus ID: 14674802
In this paper we present a systematic approach to constructing neural network classi ers based on stochastic model theory. A two…
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1992
1992
A fluid description for the discharge equilibrium of a divergent electron cyclotron resonance plasma source
G. Guan
,
M. Mauel
,
W. Holber
,
J. Caughman
1992
Corpus ID: 96212682
A fluid description of the presheath of a magnetized plasma is used to model a divergent electron cyclotron resonance (ECR…
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