| 2008 |
|---|
| 11 | EE | Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata,
Takafumi Kanamori:
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems.
Neural Computation 20(6): 1596-1630 (2008) |
| 2007 |
|---|
| 10 | EE | Satoshi Osaga,
Junichiro Hirayama,
Takashi Takenouchi,
Shin Ishii:
A Probabilistic Model of MOSAIC.
FOCI 2007: 41-46 |
| 9 | EE | Takashi Takenouchi,
Shin Ishii:
Multiclass classification as a decoding problem.
FOCI 2007: 470-475 |
| 8 | EE | Junichiro Hirayama,
Masashi Nakatomi,
Takashi Takenouchi,
Shin Ishii:
Bayesian Collaborative Predictors for General User Modeling Tasks.
ICONIP (1) 2007: 742-751 |
| 7 | EE | Takashi Takenouchi,
Shin Ishii:
A probabilistic decoding approach to multi-class classification.
IJCNN 2007: 2671-2676 |
| 6 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
Robust Loss Functions for Boosting.
Neural Computation 19(8): 2183-2244 (2007) |
| 2006 |
|---|
| 5 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Noboru Murata:
Geometrical Structure of Boosting Algorithm.
New Generation Comput. 25(1): 117-141 (2006) |
| 2005 |
|---|
| 4 | EE | Takashi Takenouchi,
Masaru Ushijima,
Shinto Eguchi:
GroupAdaBoost for Selecting Important Genes.
BIBE 2005: 218-221 |
| 2004 |
|---|
| 3 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
The Most Robust Loss Function for Boosting.
ICONIP 2004: 496-501 |
| 2 | EE | Takashi Takenouchi,
Shinto Eguchi:
Robustifying AdaBoost by Adding the Naive Error Rate.
Neural Computation 16(4): 767-787 (2004) |
| 1 | EE | Noboru Murata,
Takashi Takenouchi,
Takafumi Kanamori,
Shinto Eguchi:
Information Geometry of U-Boost and Bregman Divergence.
Neural Computation 16(7): 1437-1481 (2004) |
