Algorithmic inference

Algorithmic inference gathers new developments in the statistical inference methods made feasible by the powerful computing devices widely available… (More)
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Papers overview

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2015
2015
We address the question of inferring the search target from fixation behavior in visual search. Such inference is possible since… (More)
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2013
2013
We consider decentralized detection through distributed sensors that perform level-triggered sampling and communicate with a… (More)
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Highly Cited
2011
Highly Cited
2011
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable… (More)
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Highly Cited
2009
Highly Cited
2009
The popularity of Aloha-like algorithms for resolution of contention between multiple entities accessing common resources is due… (More)
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2009
2009
In this paper, a signal processing methodology is proposed that performs delta-sigma (DeltaSigma) analog-to-digital (A/D… (More)
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2006
2006
To get a true hybrid framework for taking operational decisions from data, we extend the Algorithmic Inference approach to the… (More)
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Highly Cited
2006
Highly Cited
2006
The necessity of network traffic monitoring and analysis is growing dramatically with increasing network usage demands from… (More)
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Highly Cited
2006
Highly Cited
2006
Most existing approaches to outlier detection are based on density estimation methods. There are two notable issues with these… (More)
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2003
2003
This book can be succinctly characterized as a coherent and comprehensive treatise of the fundamentals, algorithms, and practice… (More)
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1987
1987
Juvenile Atlantic salmon, Salmo salar, changed their foraging strategy markedly after a brief exposure to a model trout predator… (More)
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