Residual (numerical analysis)

Known as: Residual 
Loosely speaking, a residual is the error in a result. To be precise, suppose we want to find x such that Given an approximation x0 of x, the… (More)
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Topic mentions per year

Topic mentions per year

1976-2018
05101519762018

Papers overview

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2011
2011
This paper presents a prediction based neural networks approach for stock returns. An autoregressive neural network predictor is… (More)
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Highly Cited
2010
Highly Cited
2010
In many commercial systems, the 'best bet' recommendations are shown, but the predicted rating values are not. This is usually… (More)
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Highly Cited
2008
Highly Cited
2008
We introduce a new method for brain MRI segmentation, called the auto context model (ACM), to segment the hippocampus… (More)
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2007
2007
In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on… (More)
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2005
Highly Cited
2005
This paper describes a method for estimating of the fundamental frequencies (FO) of several concurrent musical sounds. The method… (More)
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2004
2004
As educators and authors, Stuart and Robertson could be described as clinicians’ clinicians. Their newly released Interpersonal… (More)
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Highly Cited
2002
Highly Cited
2002
This paper describes a general framework for out-of-core rendering and management of massive terrain surfaces. The two key… (More)
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Highly Cited
2000
Highly Cited
2000
A multiple model adaptive estimator (MMAE) [1, 2, 6, 8, 9, 11] consists of a bank of parallel Kalman filters, each with a… (More)
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Highly Cited
1998
Highly Cited
1998
This talk proposes a very simple “baseline architecture” for a learning agent that can handle stochastic, partially observable… (More)
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Highly Cited
1996
Highly Cited
1996
In analysis-synthesis of musical sounds based on a sinu-soidal model, the diierence between the original signal and the… (More)
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