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Review

2020

Review

2020

Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or… Expand

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Review

2019

Review

2019

Thanks to the recent advances in processing speed, data acquisition and storage, machine learning (ML) is penetrating every facet… Expand

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Review

2018

Review

2018

Across scientific disciplines, there is a rapidly growing recognition of the need for more statistically robust, transparent… Expand

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Highly Cited

2005

Highly Cited

2005

1. Observational studies and experiments 2. The regression line 3. Matrix algebra 4. Multiple regression 5. Path models 6… Expand

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Highly Cited

2003

Highly Cited

2003

We present and compare various methods for computing word alignments using statistical or heuristic models. We consider the five… Expand

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Highly Cited

2003

Highly Cited

2003

This article describes three statistical models for natural language parsing. The models extend methods from probabilistic… Expand

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Highly Cited

2001

Highly Cited

2001

1. Introduction.- 2. Basics of Statistical Modeling.- 3. Classical Extreme Value Theory and Models.- 4. Threshold Models.- 5… Expand

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Highly Cited

1999

Highly Cited

1999

In this letter, we develop a robust voice activity detector (VAD) for the application to variable-rate speech coding. The… Expand

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Highly Cited

1991

Highly Cited

1991

The interactive data analysis and graphics language S (Becker, Chambers and Wilks, 1988) has become a popular environment for… Expand

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Highly Cited

1987

Highly Cited

1987

The results of indoor multipath propagation measurements using 10 ns, 1.5 GHz, radarlike pulses are presented for a medium-size… Expand

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