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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… Expand
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Related topics

Related topics

9 relations

Broader (2)

Estimation theoryMachine learning
Laplacian matrixMatching pursuitMulti-task learningMultiple kernel learning
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Papers overview

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Highly Cited
2014
Highly Cited
2014
Recurrent Neural Network Regularization
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units… Expand
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Highly Cited
2013
Highly Cited
2013
Regularization of Neural Networks using DropConnect
We introduce DropConnect, a generalization of Dropout (Hinton et al., 2012), for regularizing large fully-connected layers within… Expand
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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… Expand
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Highly Cited
2006
Highly Cited
2006
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation
In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete… Expand
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Highly Cited
2005
Highly Cited
2005
Learning with kernels : Support vector machines, regularization, optimization, and beyond
 
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Highly Cited
2003
Highly Cited
2003
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following… Expand
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Highly Cited
2002
Highly Cited
2002
Gene Selection for Cancer Classification using Support Vector Machines
DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active… Expand
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Highly Cited
1999
Highly Cited
1999
Tikhonov Regularization and Total Least Squares
Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coefficient matrix, and in… Expand
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