2015年因果フェススライド

1) Canonical correlation analysis (CCA) is a statistical method that analyzes the correlation relationship between two sets of multidimensional variables. 2) CCA finds linear transformations of the two sets of variables so that their correlation is maximized. This can be formulated as a generalized eigenvalue problem. 3) The number of dimensions of the transformed variables is determined using Bar

[Diomedeidae]

７月末の因果フェスのスライド。今後の発展に期待です。

[takehiko-i-hayashi]

大塚淳『哲学から見た「因果」概念のレビュー』

[kazutan711]

ほむ。

[ublftbo]

良い