Incremental relevance sample-feature machine: a fast marginal likelihood maximization approach for joint feature selection and classification

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Accurate Markov Boundary Discovery for Causal Feature Selection

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Probabilistic Feature Selection and Classification Vector Machine

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Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection

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Pattern Analysis and Applications manuscript No. (will be inserted by the editor) A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning

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A sparse Bayesian approach for joint feature selection and classifier learning

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