1. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Probability distributions (ch.2) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Probability distributions (ch.2) |
Binary variables; Multinomial variables; Gaussian distribution |
![소스](/home/images/search/btnBlank.gif) |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Probability distributions (ch.2) |
Location-dispersion ellipsoid; Properties of Gaussians |
![소스](/home/images/search/btnBlank.gif) |
2. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Probability distributions (ch.2); Linear models for regression (ch.3) |
Exponential family; Gradient-descent method; Least-squares method |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Probability distributions (ch.2); Linear models for regression (ch.3) |
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![소스](/home/images/search/btnBlank.gif) |
3. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Linear models for regression (ch.3) |
Maximum likelihood solution |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Linear models for regression (ch.3) |
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![소스](/home/images/search/btnBlank.gif) |
4. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Linear models for regression (ch.3) |
Bayesian linear regression; Predictive distribution |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Linear models for regression (ch.3) |
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![소스](/home/images/search/btnBlank.gif) |
5. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Linear models for classification (ch.4) |
Linear discriminant analysis |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Linear models for classification (ch.4) |
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![소스](/home/images/search/btnBlank.gif) |
6. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Linear models for classification (ch.4); Neural networks (ch.5) |
Logistic regression; Feedforward neural networks |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Linear models for classification (ch.4); Neural networks (ch.5) |
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![소스](/home/images/search/btnBlank.gif) |
7. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Kernel methods (ch.6); Sparse kernel machines (ch.7) |
Gaussian process regression; SVM for binary classification |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Kernel methods (ch.6); Sparse kernel machines (ch.7) |
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![소스](/home/images/search/btnBlank.gif) |
8. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Sparse kernel machines (ch.7) |
Convex optimization; KKT conditions; Dual problem |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Sparse kernel machines (ch.7) |
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![소스](/home/images/search/btnBlank.gif) |
9. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Sparse kernel machines (ch.7) |
Overlapping class distributions; SVM for regression |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Sparse kernel machines (ch.7) |
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![소스](/home/images/search/btnBlank.gif) |
10. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Sparse kernel machines (ch.7) |
SVDD; One-class nu-SVM |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Sparse kernel machines (ch.7) |
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![소스](/home/images/search/btnBlank.gif) |
11. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Sparse kernel machines (ch.7); Continuous latent variables (ch.12) |
Nu-SVM for binary classification; Principal component analysis; Kernel principal component analysis |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Sparse kernel machines (ch.7); Continuous latent variables (ch.12) |
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![소스](/home/images/search/btnBlank.gif) |
12. |
![비디오 비디오](/home/images/search/ico_video.gif) |
Continuous latent variables (ch.12) |
ML PCA, EM algorithm for PPCA |
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![문서 문서](/home/images/search/ico_pdf.gif) |
Continuous latent variables (ch.12) |
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![소스](/home/images/search/btnBlank.gif) |