Sequential approaches for learning datum-wise sparse representations

DOI10.1007/s10994-012-5306-7zbMath1260.68327OpenAlexW2041676669MaRDI QIDQ1945129

Ludovic Denoyer, Philippe Preux, Patrick Gallinari, Gabriel Dulac-Arnold

Publication date: 2 April 2013

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-012-5306-7

zbMATH Keywords

classificationreinforcement learningsparsityfeatures selectionsequential models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Markov and semi-Markov decision processes (90C40)

Related Items

Anticipatory action selection for human-robot table tennis, Classification with costly features as a sequential decision-making problem, Adaptive covariate acquisition for minimizing total cost of classification

Uses Software

• UCI-ml
• LIBLINEAR
• C4.5

Cites Work

• Cost-sensitive feature acquisition and classification
• Structured prediction with reinforcement learning
• Learning cost-sensitive active classifiers
• 10.1162/153244303322753616
• Regularization and Variable Selection Via the Elastic Net
• Learning with Structured Sparsity
• Model Selection and Estimation in Regression with Grouped Variables
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