- 機械学習を使う。サポートベクターマシン、カーネル・リッジ・回帰、カーネルPCA
- Machine learning with kernels
- Basics
- Classification and Regression
- Loss function
- Duality between features and similarity measures
- Optimization problem over functions
- Kernels
- Kernels as inner products in the feature space
- Geometric interpretation and kernel trick
- Reproducing kernels as feature maps
- Gaussian case
- The overfitting problem
- Kernels as regularizers
- Kernelization of existing linear algorithms
- A very simple hyperplanar classifier
- Principal component analysis
- kernel ridge regression and the representer theorem
- Support vectors
- Hyperplanar classifier in feature space and margin
- Soft margin
- Lagrangian approach and dual problem
- Support vector machine
- Basics
- Application to Intermodality Image Prediction
- The MR-CT issue
- Atlas registration vs. patches
- Image prediction using kernel methods
- Local learning
遺伝学・遺伝統計学関連の姉妹ブログ『ryamadaの遺伝学・遺伝統計学メモ』
京都大学大学院医学研究科ゲノム医学センター統計遺伝学分野のWiki
講義・スライド
医学生物学と数学とプログラミングの三重学習を狙う学習ツール
駆け足で読む○○シリーズ
ぱらぱらめくるシリーズ
カシオの計算機
オンライン整数列大辞典