Two papers have been accepted for KDD2017.

The following two papers have been accepted for KDD2017(ACM International Conference on Knowledge Discovery and Data Mining).

■T.Wu, S. Sugawara, K.Yamanishi:

"Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models"

(Research Track)


■T.Uesaka, K.Morino, H.Sugiura, T.Kiwaki, H.Murata, R.Asaoka, K.Yamanishi:

"Multiview Learning over Retinal Thickness and Visual Sensitivity on Glaucoma Eyes."

(Applied Data Science Track)