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85
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CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 10 months ago
Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity
Sparse superposition codes are developed for the additive white Gaussian noise channel with average codeword power constraint. Codewords are linear combinations of subsets of vecto...
Andrew R. Barron, Antony Joseph
98
Voted
COLT
2004
Springer
15 years 6 months ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari
128
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NN
2010
Springer
189views Neural Networks» more  NN 2010»
14 years 7 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
98
Voted
ICASSP
2011
IEEE
14 years 4 months ago
L0 sparse graphical modeling
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
Goran Marjanovic, Victor Solo
ICA
2007
Springer
15 years 6 months ago
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
Paul D. O'Grady, Barak A. Pearlmutter