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Review

2019

Review

2019

Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature… Expand

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Highly Cited

2007

Highly Cited

2007

Meshfree approximation methods are a relatively new area of research, and there are only a few books covering it at present… Expand

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Highly Cited

2005

Highly Cited

2005

Preface Part I. Introduction: 1. Introduction 2. Motivating examples Part II. Preliminaries: 3. Tools from matrix theory 4… Expand

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Highly Cited

2004

Highly Cited

2004

1. Applications and motivations 2. Hear spaces and multivariate polynomials 3. Local polynomial reproduction 4. Moving least… Expand

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Highly Cited

2004

Highly Cited

2004

BASIC THEORY 1.1 Orthogonal polynomials 1.2 Properties of orthogonal polynomials 1.3 Three-term recurrence relation 1.4… Expand

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Highly Cited

1996

Highly Cited

1996

We generalize the notion of an approximation space introduced in [8]. In tolerance approximation spaces we define the lower and… Expand

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Highly Cited

1995

Highly Cited

1995

Subspace estimation plays an important role in a variety of modern signal processing applications. We present a new approach for… Expand

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Highly Cited

1992

Highly Cited

1992

In this paper we demonstrate that finite linear combinations of compositions of a fixed, univariate function and a set of affine… Expand

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Highly Cited

1991

Highly Cited

1991

Abstract We show that standard multilayer feedforward networks with as few as a single hidden layer and arbitrary bounded and… Expand

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Highly Cited

1990

Highly Cited

1990

The problem of the approximation of nonlinear mapping, (especially continuous mappings) is considered. Regularization theory and… Expand

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