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• Kernel methods in machine learning - MVA2021

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• Lecture 12a of kernel methods: Kernels for graphs

  Kernel methods in machine learning - MVA2021 · 2021-02-26

• Lecture 11c of kernel methods: Convergence rates of kernel ridge regression for Mercer kernels

  Kernel methods in machine learning - MVA2021 · 2021-02-25

• Lecture 11d of kernel methods: Translation invariant kernels, Herglotz and Bochner's theorems

  Kernel methods in machine learning - MVA2021 · 2021-02-23

• Lecture 10 on kernel methods: kernel K-means, spectral clustering, kernel CCA

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 9 on kernel methods: kernel PCA

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 8 on kernel methods: Supervised learning, support vector machines (SVM)

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 7 on kernel methods: Supervised learning, large-margin classifiers, a bit of learning theory

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 6 on kernel methods: Supervised learning, kernel ridge and logistic regression

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 5 on kernel methods: Representer theorem

  Kernel methods in machine learning - MVA2021 · 2021-02-22

• Lecture 4 on kernel methods: Kernel Trick

  Kernel methods in machine learning - MVA2021 · 2021-02-22

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