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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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Papers overview

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2009
2009
Multiple kernel learning approaches to multi-view learning [1, 11, 7] have recently become very popular since they can easily… 
Highly Cited
1997
Highly Cited
1997
Several types of network traffic have been shown to exhibit long-range dependence (LRD). In this work, we show that the busy… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
1994
1994
  • H. Torp
  • 1994
  • Corpus ID: 1110913
The paper discusses the sampling of color spectra and its effect on the accuracy of derived properties such as CIE tristimulus… 
1987
1987
We present a computationally efficient method of calculating confidence intervals for the maximum entropy (ME) or autoregressive… 
1980
1980
General expressions are derived for the characteristic function and probability density function of the output of a cross… 
1977
1977
In this paper, the method of "most powerful similar tests" is used to obtain the optimum (largest probability of detection… 
1970
1970
We give a proof of Fernique's theorem that if Xis a stationary Gaussian process and a2(h) =E(X(h) X(O))2 then X has continuous… 
1965
1965
Using the first term of a series given by Longuet-Higgins [5] for the general case an approximate solution is found in the form… 
1962
1962
"July 6, 1962." "Submitted to the Department of Electrical Engineering, M.I.T., May 20, 1961, in partial fulfillment of the…