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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
Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Properties of the acrylic acid polymers obtained by atmospheric pressure plasma polymerization
I. Topală
,
N. Dumitrașcu
,
G. Popa
2009
Corpus ID: 55687845
2006
2006
Numerical stability of Entropic versus positivity-enforcing Lattice Boltzmann schemes
F. Tosi
,
S. Ubertini
,
S. Succi
,
Hudong Chen
,
I. Karlin
Mathematics and Computers in Simulation
2006
Corpus ID: 7910145
2005
2005
Nonexistence of H Theorem for Some Lattice Boltzmann Models
W. Yong
,
Li-Shi Luo
2005
Corpus ID: 123130928
In this paper, we provide a set of sufficient conditions under which a lattice Boltzmann model does not admit an H theorem. By…
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2003
2003
Invasion percolation of single component, multiphase fluids with lattice Boltzmann models
M. Sukop
,
D. Or
2003
Corpus ID: 23488978
2003
2003
A Monte Carlo Method Seamlessly Linking Quantum and Classical Transport Calculations
H. Kosina
,
M. Nedjalkov
,
S. Selberherr
2003
Corpus ID: 41853116
A Monte Carlo method for carrier transport is presented, which simultaneously takes into account quantum interference and…
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1999
1999
General aspects of the thermodynamical formalism
E. Curado
1999
Corpus ID: 38561628
We present some recent developments concerning general aspects of the thermodynamical formalism. Through simple arguments, we…
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Highly Cited
1998
Highly Cited
1998
Schwarzschild black holes in matrix theory II
T. Banks
,
W. Fischler
,
I. Klebanov
,
L. Susskind
1998
Corpus ID: 16370343
We present a crude Matrix Theory model for Schwarzschild black holes in uncompactified dimension greater than 5. The model…
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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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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1992
Highly Cited
1992
Two-dimensional NOSFET Simulation by means of Multidimensional Spherical Harmonics Expansion of the Boltzmann Transport Equation
A. Gnudi
,
D. Ventura
,
G. Baccarani
,
F. Odeh
European Solid-State Device Research Conference
1992
Corpus ID: 7803671
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