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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
Wikipedia

Related topics

Related topics

9 relations

Broader (2)

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

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Dropout: a simple way to prevent neural networks from overfitting
Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious… Expand
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Highly Cited
2012
Highly Cited
2012
Machine learning - a probabilistic perspective
  • K. Murphy
  • Adaptive computation and machine learning series
  • 2012
    • Corpus ID: 17793133
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these… Expand
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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Review
2005
Review
2005
REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems
  • P. Hansen
  • Numerical Algorithms
  • 2005
    • Corpus ID: 2873360
The package REGULARIZATION TOOLS consists of 54 Matlab routines for analysis and solution of discrete ill-posed problems, i.e… 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
2004
Highly Cited
2004
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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Review
2003
Review
2003
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  • A. Widjaja
  • IEEE Transactions on Neural Networks
  • 2003
    • Corpus ID: 7406938
Chapters 2–7 make up Part II of the book: artificial neural networks. After introducing the basic concepts of neurons and… Expand
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
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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