Miyuki Imada

发表

Sparse factor regression via penalized maximum likelihood estimation

Kei Hirose, Miyuki Imada, Kei Hirose, 2018 .

NTT Technical Review, Vol. 15, No. 3, Mar. 2017

Y. Kano, Kei Hirose, G. Lopez, 2014 .

Full information maximum likelihood estimation in factor analysis with a large number of missing values

Y. Kano, Kei Hirose, Miyuki Imada, 2016 .

Full information maximum likelihood estimation in factor analysis with a lot of missing values

Y. Kano, Kei Hirose, Miyuki Imada, 2013, 1312.5458.

Sparse factor regression via penalized maximum likelihood estimation

Kei Hirose, Miyuki Imada, K. Hirose, 2016, Statistical Papers.

Jack-in-the-Net: Adaptive Networking Architec- ture for Service Emergence

Masato Matsuo, Tatsuya Suda, Tomonori Aoyama, 2001 .

Characteristics Estimation of Information Sources by Information Diffusion Analysis

Kazuhiro Kazama, Miyuki Imada, Keiichiro Kashiwagi, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Characteristics of information diffusion in blogs, in relation to information source type

Kazuhiro Kazama, Miyuki Imada, Keiichiro Kashiwagi, 2012, Neurocomputing.

Quantification of Information Diffusion Network Characteristics in Blogspace

Kazuhiro Kazama, Miyuki Imada, Keiichiro Kashiwagi, 2010 .

LooM: An Anonymity Quantification Method in Pervasive Computing Environments

Masayasu Yamaguchi, Miyuki Imada, Masakatsu Ohta, 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).