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Gaussian process
Known as:
GP
, Gaussian Processes
, Gaussian stochastic process
In probability theory and statistics, a Gaussian process is a statistical model where observations occur in a continuous domain, e.g. time or space…
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Related topics
Related topics
34 relations
Additive white Gaussian noise
Autoregressive model
Bayesian interpretation of kernel regularization
Brownian motion
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
An efficient automated negotiation strategy for complex environments
Siqi Chen
,
Gerhard Weiss
Engineering applications of artificial…
2013
Corpus ID: 1318475
Review
2012
Review
2012
A Study of the Fourth-Order Small Perturbation Method for Scattering From Two-Layer Rough Surfaces
M. Demir
,
J. Johnson
,
Tom J. Zajdel
IEEE Transactions on Geoscience and Remote…
2012
Corpus ID: 21461854
Predictions of the fourth-order small perturbation method (SPM) are examined for scattering from two rough surfaces in a layered…
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Highly Cited
2005
Highly Cited
2005
Confidentiality performance of spectral-phase-encoded optical CDMA
T. Shake
Journal of Lightwave Technology
2005
Corpus ID: 19472783
Enhanced security has often been cited as an important benefit of optical code-division multiple-access (O-CDMA) signaling but…
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2000
2000
Krylov Subspace Estimation
M. Schneider
,
A. Willsky
SIAM Journal on Scientific Computing
2000
Corpus ID: 15196538
Computing the linear least-squares estimate of a high-dimensional random quantity given noisy data requires solving a large…
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Highly Cited
1998
Highly Cited
1998
A dynamic index for managed currencies funds using CME currency contracts
P. Lequeux
,
E. Acar
1998
Corpus ID: 46615649
The goal of this paper is to equip the investor with the tools and understanding necessary to evaluate managed currencies…
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Highly Cited
1997
Highly Cited
1997
Time scale analysis of an ATM queueing system with long-range dependent traffic
G. Mayor
,
J. Silvester
Proceedings of INFOCOM '97
1997
Corpus ID: 15545974
Several types of network traffic have been shown to exhibit long-range dependence (LRD). In this work, we show that the busy…
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Highly Cited
1996
Highly Cited
1996
Noncoherent hybrid parallel PN code acquisition for CDMA mobile communications
W. Zhuang
1996
Corpus ID: 1333786
This paper proposes a noncoherent hybrid parallel pseudonoise (PN) code acquisition scheme for code-division multiple access…
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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
1988
Highly Cited
1988
A strong invariance theorem for the tail empirical process
D. Mason
1988
Corpus ID: 111379082
On obtient une approximation forte du processus empirique de queue par une suite de processus gaussiens. Ceci mene, entre autres…
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Highly Cited
1970
Highly Cited
1970
Likelihood ratios for Gaussian processes
T. Kailath
IEEE Transactions on Information Theory
1970
Corpus ID: 28323308
We give a comprehensive discussion of the structure of the likelihood ratio (LR) for discrimination between two Gaussian…
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