Sparsity is better with stability: Combining accuracy and stability for model 
selection in brain decoding

Baldassarre, Luca; Pontil, Massimiliano; Mourao-Miranda, Janaina

doi:10.3389/fnins.2017.00062

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Sparsity is better with stability: Combining accuracy and stability for model selection in brain decoding

Baldassarre, L., Pontil, M., & Mourao-Miranda, J. (2017). Sparsity is better with stability: Combining accuracy and stability for model selection in brain decoding. Frontiers in Neuroscience, 11: 62. doi:10.3389/fnins.2017.00062.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-152B-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-33E9-B

Genre: Journal Article

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http://dx.doi.org/10.3389/fnins.2017.00062 (Publisher version) Open Access status unknown

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Creators:
Baldassarre, Luca¹, Author
Pontil, Massimiliano¹, Author
Mourao-Miranda, Janaina², Author

Affiliations:
1External Organizations, ou_persistent22
2Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641

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Language(s): eng - English

Dates: Date issued: 2017

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.3389/fnins.2017.00062
Other: alg:id10007212

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Title: Frontiers in Neuroscience

Source Genre: Journal

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Pages: - Volume / Issue: 11 Sequence Number: 62 Start / End Page: - Identifier: -