# Doubly stochastic model

## Papers overview

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2017

2017

- NIPS
- 2017

Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to overfitting, and provideâ€¦Â (More)

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2015

2015

- Pattern Recognition and Image Analysis
- 2015

Problems of synthesis of doubly stochastic autoregressive models are considered that can be used for the formation of imagesâ€¦Â (More)

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2014

Highly Cited

2014

- NIPS
- 2014

The general perception is that kernel methods are not scalable, and neural nets are the methods of choice for large-scaleâ€¦Â (More)

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2012

Highly Cited

2012

- Eur. J. Control
- 2012

This paper deals with the design and analysis of dynamical systems on directed graphs (digraphs) that achieve weight-balanced andâ€¦Â (More)

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2010

Highly Cited

2010

- IEEE International Symposium on Informationâ€¦
- 2010

This paper presents a general class of gossip-based averaging algorithms, which are inspired from Uniform Gossip [1]. Whileâ€¦Â (More)

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2004

Highly Cited

2004

- 2004

This paper is concerned with the condition for the convergence to a doubly stochastic limit of a sequence of matrices obtainedâ€¦Â (More)

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2000

Highly Cited

2000

- IEEE Trans. Image Processing
- 2000

Over the past two decades, there have been various studies on the distributions of the DCT coefficients for images. However, theyâ€¦Â (More)

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1998

1998

- IEEE Trans. Neural Networks
- 1998

This paper investigates neuron activation statistics in artificial neural networks employing stochastic arithmetic. It is shownâ€¦Â (More)

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1994

Highly Cited

1994

- 1994

A new kind of backward stochastic differential equations (in short BSDE), where the solution is a pair of processes adapted toâ€¦Â (More)

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1991

1991

- Kybernetika
- 1991

A multiple linear process with random coefficients is investigated in the paper. Conditions for existence of such process areâ€¦Â (More)

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