( en | de | ru )

 

Disambiguation of "Yamanishi, Kenji"

Author of the publication

copydeleteadd this publication to your clipboard
Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization.

, , , , , and . KDD, page 783-792. ACM, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kenji Kurata

Kenji Kurata

Kenji Kamino

Kenji Uemura

Kenji Yamamoto

 

Other publications of authors with the same name

Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors., , , , and . CoRR, (2016)An Upper Bound on Normalized Maximum Likelihood Codes for Gaussian Mixture Models., and . CoRR, (2017)Distributed Cooperative Bayesian Learning Strategies.. COLT, page 250-262. ACM, (1997)Detecting changes of clustering structures using normalized maximum likelihood coding., and . KDD, page 343-351. ACM, (2012)Extended Stochastic Complexity and Minimax Relative Loss Analysis.. ALT, volume 1720 of Lecture Notes in Computer Science, page 26-38. Springer, (1999)Comparison of dynamic model selection with infinite HMM for statistical model change detection., and . ITW, page 302-306. IEEE, (2012)Extracting Time-evolving Latent Skills from Examination Time Series., and . EDM, page 340-341. International Educational Data Mining Society, (2013)The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models., , , and . Data Min. Knowl. Discov., 33 (4): 1017-1058 (2019)Detecting Hierarchical Changes in Latent Variable Models., and . ICDM, page 1028-1033. IEEE, (2020)Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression., , , , , , and . KDD, page 2278-2286. ACM, (2019)