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Sergios Theodoridis

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P2.11-Classification Trees II
01 Feb 2024

P2.11-Classification Trees II

1.00 pdh 0.10 ceu
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P2.12-Combining Classifiers
01 Feb 2024

P2.12-Combining Classifiers

1.00 pdh 0.10 ceu
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P2.13-AdaBoost
01 Feb 2024

P2.13-AdaBoost

1.00 pdh 0.10 ceu
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P3.1-Nonlinear Models and Cover's Theorem
01 Feb 2024

P3.1-Nonlinear Models and Cover's Theorem

1.00 pdh 0.10 ceu
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P3.2-Reproducing Kernel Hilbert Spaces
01 Feb 2024

P3.2-Reproducing Kernel Hilbert Spaces

1.00 pdh 0.10 ceu
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P3.3-Kernel Trick
01 Feb 2024

P3.3-Kernel Trick

1.00 pdh 0.10 ceu
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P3.4-Examples of Kernels
01 Feb 2024

P3.4-Examples of Kernels

1.00 pdh 0.10 ceu
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P3.5-Representer Theorem
01 Feb 2024

P3.5-Representer Theorem

1.00 pdh 0.10 ceu
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P3.6-Kernel Ridge Regression
01 Feb 2024

P3.6-Kernel Ridge Regression

1.00 pdh 0.10 ceu
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P3.7-Support Vector Regression
01 Feb 2024

P3.7-Support Vector Regression

1.00 pdh 0.10 ceu
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P3.8-SVM-The Linearly Separable Classes Case
01 Feb 2024

P3.8-SVM-The Linearly Separable Classes Case

1.00 pdh 0.10 ceu
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P3.9-SVM-The Nonseparable Classes Case
01 Feb 2024

P3.9-SVM-The Nonseparable Classes Case

1.00 pdh 0.10 ceu
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