Deep kernel dimensionality reduction for scalable data integration

DOI10.1016/J.IJAR.2016.03.008zbMath1357.68185DBLPjournals/ijar/SokolovskaCZ16OpenAlexW2323277487WikidataQ62609952 ScholiaQ62609952MaRDI QIDQ282928

Nataliya Sokolovska, Jean-Daniel Zucker, Karine Clément

Publication date: 12 May 2016

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2016.03.008

zbMATH Keywords

dimensionality reductionheterogeneous data integration

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Introduction to the special issue on statistical and computational methods for genomics and integrative genomics

Uses Software

• Kernlab
• darch
• PRMLT

Cites Work

• Unnamed Item
• KI 2009: Advances in artificial intelligence. 32nd annual German conference on AI, Paderborn, Germany, September 15--18, 2009. Proceedings
• Principal component analysis.
• Reducing the Dimensionality of Data with Neural Networks
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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