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)
