Matrix regularization

Known as: Regularization 
In the field of statistical learning theory, matrix regularization generalizes notions of vector regularization to cases where the object to be… (More)
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Topic mentions per year

Topic mentions per year

1969-2018
020040060080019692018

Related topics

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9 relations

Broader (2)

Estimation theoryMachine learning
Laplacian matrixMatching pursuitMulti-task learningMultiple kernel learning
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Related mentions per year

Related mentions per year

1936-2019
19401960198020002020
Matrix regularization
Machine learning
Estimation theory
Laplacian matrix
Matching pursuit
Multi-task learning

Papers overview

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Highly Cited
2011
Highly Cited
2011
Recommender systems with social regularization
Although Recommender Systems have been comprehensively analyzed in the past decade, the study of social-based recommender systems… (More)
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Highly Cited
2007
Highly Cited
2007
Regularization of Inverse Problems with Unknown Operator
In this paper, we study statistical inverse problems. We are interested in the case where the operator is not exactly known… (More)
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Highly Cited
2007
Highly Cited
2007
Covariance Regularization by Thresholding
This paper considers regularizing a covariance matrix of p variables estimated from n observations, by hard thresholding. We show… (More)
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Highly Cited
2006
Highly Cited
2006
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form f regularization that allows us to exploit the geometry of the… (More)
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Highly Cited
2005
Highly Cited
2005
A vector-perturbation technique for near-capacity multiantenna multiuser communication-part I: channel inversion and regularization
Recent theoretical results describing the sum capacity when using multiple antennas to communicate with multiple users in a known… (More)
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Highly Cited
2003
Highly Cited
2003
Kernels and Regularization on Graphs
We introduce a family of kernels on graphs based on the notion of regularization operators. This generalizes in a natural way the… (More)
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Highly Cited
1998
Highly Cited
1998
The connection between regularization operators and support vector kernels
In this paper a correspondence is derived between regularization operators used in regularization networks and support vector… (More)
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Highly Cited
1995
Highly Cited
1995
Regularization Theory and Neural Networks Architectures
We had previously shown that regularization principles lead to approximation schemes that are equivalent to networks with one… (More)
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Highly Cited
1995
Highly Cited
1995
Training with Noise is Equivalent to Tikhonov Regularization
It is well known that the addition of noise to the input data of a neural network during training can, in some circumstances… (More)
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Highly Cited
1986
Highly Cited
1986
Regularization of Inverse Visual Problems Involving Discontinuities
Inverse problems, such as the reconstruction problems that arise in early vision, tend to be mathematically ill-posed. Through… (More)
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