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Incremental reformulated automatic relevance determination
Dmitriy Shutin
,
Sanjeev R. Kulkarni
,
H. Vincent Poor
Electrical and Computer Engineering
Operations Research & Financial Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Keyphrases
Automatic Relevance Determination
100%
Fast Marginal Likelihood Maximization
100%
Sparse Bayesian Learning
60%
Maximization Algorithm
40%
Incremental Approach
40%
Single Component
20%
Convex Optimization Problem
20%
Bounded Functions
20%
Reweighted
20%
Algorithm Convergence
20%
Marginal Likelihood
20%
Upper Bounding
20%
Maximizers
20%
Signal Sparsity
20%
Determination Approach
20%
Constrained Convex Optimization
20%
Pruning Conditions
20%
Engineering
Marginals
100%
Maximization
71%
Sparse Bayesian Learning
42%
Realization
14%
Closed Form
14%
Single Component
14%
Objective Function
14%
Convex Optimization Problem
14%
Sparsity
14%
Chemical Engineering
Auxiliaries
100%
Computer Science
Incremental Approach
33%
Incremental Version
16%
Bounding Function
16%