Japanese Page
Masanori Kawakita
Masanori KAWAKITA, Assistant Professor
Circuits, Systems, and Communication Networks
Department of Computer Science and Communication Engineering
Graduate School of Information Science and Electorical Engineering
Kyushu University
Additional post is a resercher of
Institute of Systems, Information Technologies
and Nanotechnologies
Tha latest news: IBIS 2009 finished with great success. How happy!
Click the following links to jump to each topic quickly.
Biography
Research Interests
Publications, talks and technical reports and so on
Tea
R language (in japanese)
Communication Language
Photos
Programming Language
Link to journals and conferences
Link to other researchers
Biography
| date |
a personal histroty |
| Mar. 31, 2001 |
He received a B. A. in engineering from Keio University.. |
Apr. 1, 2001
|
Mar. 31, 2003 |
He studied the computer science in the graduate university of Keio. He
received an M. A. in engineering on Mar. 31, 2003. |
Apr. 1, 2003
|
Mar. 31, 2006
|
He studied in the department of statistical science of the graduate university of advanced studies. He obtained Ph. D. in statistical science on Mar. 24, 2006. |
Apr. 1, 2006
|
Jan. 31, 2007 |
He studied in Institute of Statistical Mathematics as a project researcher of "Statistical Genome Diversity Research
Group" in "Prediction and Knowledge Discovery Research Center". |
Feb. 1, 2007
|
Mar. 31, 2007 |
He studied as a project researcher in Institute of Statistical Mathematics.
The project is related to Bioinformatics and is a commissioned research
from National Institute of Biomedical Innovation. |
Apr. 1, 2007
|
the present
Dec. 1, 2008
|
the present |
He is now an assistant professor belonging to the department of Computer
Science and Communication Engineering in Graduate School of Information Science and Electorical Engineering in Kyushu University.
He is also a special resercher belonging to Institute of Systems, Information Technologies
and Nanotechnologies engaging the contract reserch with National Institute of Information and Communication Technology. |
Research Interests
- Learning theory (ICA,
Boosting, PAC learning, kernel machine)
- Information Geometry
- Security (Network Security and Decipherment)
- Bioinformatics
Publications, talks and technical reports and so on (with titles colored
yellow)
- M. Kawakita, I. Honda.
"Completely oblivionable associative memory",
IEICE General Conference, Ritsumeikan University, 14, pp.1419-1429, 2001. (in japanese)
- M. Kawakita, I. Honda. "Proposal of Completely oblivionable associative memory", Bachelor Thesis, Keio
University, 2001. (in japanese)
- M. Kawakita, H. Saito and K. Harada. "Parameter
estimation for AR models with non-gaussian innovation. -Independent Linear
Predictive Coding-", Master Thesis, Graduate school of
Keio university, 2003. (in japanese)
-
M. Kawakita,
"Shark Bycatch Prediction By AdaBoost",the 2004 Japanese Joint Statistical Meeting, Fuji
university in Iwate, 2004. (in japanese)
-
M. Kawakita, "Shark Bycatch Prediction By
AdaBoost", Workshop on "Prediction for Marine Resources", the Institute of Statistical Mathematics, in November, 2004
-
Kawakita, M., Minami, M., Eguchi, S. and Lennert-Cody, C. E. "An introduction of the predictive technique AdaBoost with a comparison to generalized additive
models", Fisheries Research, vol. 76, pp. 328-343, 2005
- Kawakita, M. "Boosting method for local learning", the 2005 Japanese Joint Statistical Meeting, Hiroshima Prince Hotel, 2005. (in japanese)
- Kawakita, M. "Geometrical structure of local boosting" (poster), IGAIA conference, Tokyo University (Sanjo Hall), 2005 [poster(pdf)]
- Kawakita, M. "Boosting method for local learning in statistical classification", Doctor Thesis, 2006 [pdf]
- Egushi, S. and Kawakita, M. "A New Statistical Approach to Microarray Data Analysis", the 2006 Japanese Joint Statistical Meeting, Tohoku University, 2006. (in japanese)
- Kawakita, M. "Boosting as a Kernel Machine", the 2006 Japanese Joint Statistical Meeting, Tohoku University, 2006. (in japanese)
- Kawakita, M., Eguchi, S. "Boosting method for local learning", the Institute of Statistical Mathematics, Research Memorandum, No. 1005, 13 September, 2006. [abstract] [pdf]
- Kawakita, M., Ikeda, S. and Eguchi, S. "A bridge between boosting and a kernel machine", the Institute of Statistical Mathematics, Research Memorandum, No. 1006, 13 September, 2006 [abstract] [pdf]
- Kawakita, M. "Theory and application of boosting method", Faculty of Science and Engineering, Chuo University, "Theory
and application of multivariate high dimensional data analysis", October,
2006. (talk in japanese) [abstract][pdf]
- Kawakita, M. "Boosting method as a kernel machine", IBIS 2006, Nakanoshima Center of Osaka University, October, 2006. (in japanese) [pdf][poster(pdf)]
- Kawakita, M., Eguchi, S. "Boosting method for local learning", Taipei International Statistics Workshop, National Taiwan University, December, 2006.
- Kawakita, M. "A bridge between boosting method and kernel machine", Informal talk, Academia Sinica, December, 2006.
- Kawakita, M., Fujisawa, H., Eguchi, S., Ushijima, M., Ishikawa, Y. and Matsuura, M. "A novel variable selection method in gene expression profiling for the classification of the distinct two histological types of high-grade neuroendocrine lung carcinomas", Pacific Simposium of Biocomputing 2007, Grand Wailea, Maui island, January, 2007.
- Kawakita, M. "Toward the integration of boosting methods and kernel machines", Research Meeting "From the topics of machine learning", Institute of Statistical Mathematics, March, 2007.
- Kawakita, M. "Tutorial on boosting methods and kernel machines", Statistical Science Seminar, Kyushu university, Jun, 29th, 2007
- Kawakita, M. "Variable selection method by machine learning on high-dimensional data", the 2007 Japanese Joint Statistical Meeting, Kobe university, Sep. 6th-9th, 2007
- Kawakita, M. " Variable selection on high dimensional data by machine learning methods", COE conference on the develepment of Dynamic Mathematics with High Functionality, Recent hotel, Fukuoka, Oct. 1st-4th, 2007.
- Ushijima, M., Miyata, S., Eguchi, S., Kawakita, M., Yoshimoto, M., Iwase,
T., Akiyama, F., Sakamoto, G., Nagasaki, K., Miki, Y., Noda, T., Yutaka
Hoshikawa and Matsuura, M. "Common peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancer", Cancer Informatics, vol. 3, pp.285-293, 2007.
- Kawakita, M. "Study of gene selection based on machine learning
on Microarray data", Pacific Simposium of Biocomputing 2008, the Fairmont Orchid, the Big Island of Hawaii, Hawaii, 2008
- Kawakita, M. and Eguchi, S. "Boosting method for local learning in statistical pattern recognition", Neural Computation, vol. 20, issue, 11, pp. 2792-2838, 2008.
- Kawakita, M. and Takeuchi, J. "Performance analysis of boosting in view of predictive distribution", the 2008 Japanese Joint Statistical Meeting, Keio university, Sep.
7th-10th, 2008.
- Kawakita, M. and Takeuchi, J. "About the worse change caused by boosting", IBIS 2008, Sendai International Center (Sendai City), October, 29th-31st, 2008.
- Kawakita, M. "About the recent progress on boosting", OCAMI meeting on
" Information Geometry 2009, Osaka City University Advanced Mathematical Institute (Osaka City）, Jan,
25th, 2009.
- Murakami, S., Hamasaki, H., Kawakita, M., Takeuchi, J., Yoshioka, K., Inoue,
D., Etoh, M. and Nakao, K. "Study of botnet detection based on probabilistic dependencies", IEICE Technical Committee on Internet Architecture, 機械振興会館, June, 18th-19th, 2009
- Kawakita, M. "Study of the performance of boosting in view of information geometry", Open seminar of statistical science, Osaka University, July, 15th, 2009
- Kawakita, M., Hamasaki, H., Murakami, S. and Takeuchi, J. "Botnet detection by sparse structure learning", informal talk, Yokohama National University, June, 22nd, 2009
- Kawakita, M., Murakami, S., Hamasaki, H., Takeuchi, J., Yoshioka, K., Inoue,
D., Etoh, M. and Nakao, K. "Botnet detection by sparse structure learning", the 2009 Japanese Joint Statistical Meeting, Doshisha University （Kyoutanabe campus）, Sep, 6th-9th, 2009
- Kawakita, M. and Takeuchi, J. "Improvement of parameter estimation of curved exponential family without
Bayes estimation", IBIS 2009, Kyushu University Centennial Hall （School of Medicine）, Sep, 19th-21st,
2009
- Murakami, S., Hamasaki, H., Kawakita, M., Takeuchi, J., Yoshioka, K., Inoue,
D., Etoh, M. and Nakao, K. "Study of botnet detection based on sparse structure learning", IBIS 2009, Kyushu University Centennial Hall （School of Medicine）, Sep, 19th-21st,
2009
Forthcoming...
- Kawakita, M. and Takeuchi, J. "A new method of improving predictive distribution without Bayes estimation", SITA 2009, Hotel Kamefuku (Yuda Hot-Spring in Yamaguchi), 12/01-04, 2009.
Communication Language
- Japanese (japonais)
- English (l'anglais)
- French (francais) mais un peu!
Programming Language
- C/C++
- R language
- Matlab
- Java
- Assembler on T11 emulator
Link to other researchers （in alphabetic order of family name）
- Institute of Statistical Mathematics
- The Institute of Medical Science, Tokyo University
- Keio University
- Waseda University
- University of Warwick
- Nara Advanced Institute of Science and Technology
- Kyushu University
Last modified on: 2007/04/12