Doubly stochastic model

Known as: Doubly stochastic 
In statistics, a doubly stochastic model is a type of model that can arise in many contexts, but in particular in modelling time-series and… (More)
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2017
2017
Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to overfitting, and provide… (More)
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2015
2015
Problems of synthesis of doubly stochastic autoregressive models are considered that can be used for the formation of images… (More)
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Highly Cited
2014
Highly Cited
2014
The general perception is that kernel methods are not scalable, and neural nets are the methods of choice for large-scale… (More)
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2012
Highly Cited
2012
This paper deals with the design and analysis of dynamical systems on directed graphs (digraphs) that achieve weight-balanced and… (More)
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Highly Cited
2010
Highly Cited
2010
This paper presents a general class of gossip-based averaging algorithms, which are inspired from Uniform Gossip [1]. While… (More)
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Highly Cited
2004
Highly Cited
2004
This paper is concerned with the condition for the convergence to a doubly stochastic limit of a sequence of matrices obtained… (More)
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Highly Cited
2000
Highly Cited
2000
Over the past two decades, there have been various studies on the distributions of the DCT coefficients for images. However, they… (More)
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1998
1998
This paper investigates neuron activation statistics in artificial neural networks employing stochastic arithmetic. It is shown… (More)
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Highly Cited
1994
Highly Cited
1994
A new kind of backward stochastic differential equations (in short BSDE), where the solution is a pair of processes adapted to… (More)
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1991
1991
A multiple linear process with random coefficients is investigated in the paper. Conditions for existence of such process are… (More)
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