Statistical model

Known as: Model (statistics), Statistical models, StatisticalModel 
A statistical model is a class of mathematical model, which embodies a set of assumptions concerning the generation of some sample data, and similar… (More)
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Topic mentions per year

Topic mentions per year

1938-2017
01000200019382016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2005
Highly Cited
2005
Automated localization of software bugs is one of the essential issues in debugging aids. Previous studies indicated that the… (More)
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Highly Cited
2004
Highly Cited
2004
A novel learning procedure, called FloatBoost, is proposed for learning a boosted classifier for achieving the minimum error rate… (More)
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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… (More)
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Highly Cited
2002
Highly Cited
2002
We establish a statistical model for the ultra-wide bandwidth (UWB) indoor channel based on an extensive measurement campaign in… (More)
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Highly Cited
2002
Highly Cited
2002
In this paper, we describe a novel technique, called motion texture, for synthesizing complex human-figure motion (e.g., dancing… (More)
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Highly Cited
2002
Highly Cited
2002
Now, we come to offer you the right catalogues of book to open. multivariate statistical modelling based on generalized linear… (More)
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Highly Cited
2000
Highly Cited
2000
Most previously proposed statistical models for the indoor multipath channel include only time of arrival characteristics… (More)
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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… (More)
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Highly Cited
1999
Highly Cited
1999
This paper introduces a new statistical approach to automatically partitioning text into coherent segments. The approach is based… (More)
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Highly Cited
1977
Highly Cited
1977
Most man-made and natural electromagnetic interference, or "noise," are highly non-Gaussian random processes, whose degrading… (More)
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