Mathematical theories of machine lea...
Shi, Bin.

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  • Mathematical theories of machine learning = theory and applications /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Mathematical theories of machine learning/ by Bin Shi, S. S. Iyengar.
    其他題名: theory and applications /
    作者: Shi, Bin.
    其他作者: Iyengar, S. S.
    出版者: Cham :Springer International Publishing : : 2020.,
    面頁冊數: xxi, 133 p. :ill., digital ;24 cm.
    內容註: Chapter 1. Introduction -- Chapter 2. General Framework of Mathematics -- Chapter 3. Problem Formulation -- Chapter 4. Development of Novel Techniques of CoCoSSC Method -- Chapter 5. Further Discussions of the Proposed Method -- Chapter 6. Related Work on Geometry of Non-Convex Programs -- Chapter 7. Gradient Descent Converges to Minimizers -- Chapter 8. A Conservation Law Method Based on Optimization -- Chapter 9. Improved Sample Complexity in Sparse Subspace Clustering with Noisy and Missing Observations -- Chapter 10. Online Discovery for Stable and Grouping Causalities in Multi-Variate Time Series -- Chapter 11. Conclusion.
    Contained By: Springer eBooks
    標題: Machine learning - Mathematics. -
    電子資源: https://doi.org/10.1007/978-3-030-17076-9
    ISBN: 9783030170769
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