Convex optimization as a building block for difficult problems in machine learning
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Author
Date
2014Type
- Doctoral Thesis
ETH Bibliography
yes
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https://doi.org/10.3929/ethz-a-010173080Publication status
publishedExternal links
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Publisher
ETH-ZürichSubject
MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); CONVEX PROGRAMMING (OPERATIONS RESEARCH); ALGORITHMISCHE KOMPLEXITÄT (MATHEMATIK); KONVEXE OPTIMIERUNG (OPERATIONS RESEARCH); ALGORITHMIC COMPLEXITY (MATHEMATICS); GRAPHENMODELLE (GRAPHENTHEORIE); GRAPH MODELS (GRAPH THEORY)Organisational unit
03659 - Buhmann, Joachim M. / Buhmann, Joachim M.
02150 - Dep. Informatik / Dep. of Computer Science
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ETH Bibliography
yes
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