| 2008 |
|---|
| 14 | EE | Shohei Hido,
Yuta Tsuboi,
Hisashi Kashima,
Masashi Sugiyama,
Takafumi Kanamori:
Inlier-Based Outlier Detection via Direct Density Ratio Estimation.
ICDM 2008: 223-232 |
| 13 | EE | Takafumi Kanamori,
Shohei Hido,
Masashi Sugiyama:
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection.
NIPS 2008: 809-816 |
| 12 | 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 |
|---|
| 11 | EE | Takafumi Kanamori:
Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability.
ALT 2007: 358-372 |
| 10 | EE | Takafumi Kanamori:
Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability.
IEICE Transactions 90-D(12): 2033-2042 (2007) |
| 9 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
Robust Loss Functions for Boosting.
Neural Computation 19(8): 2183-2244 (2007) |
| 8 | EE | Takafumi Kanamori:
Pool-based active learning with optimal sampling distribution and its information geometrical interpretation.
Neurocomputing 71(1-3): 353-362 (2007) |
| 2006 |
|---|
| 7 | EE | Ichiro Takeuchi,
Kaname Nomura,
Takafumi Kanamori:
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator.
IJCNN 2006: 153-158 |
| 6 | EE | Takafumi Kanamori,
Ichiro Takeuchi:
Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.
Computational Statistics & Data Analysis 50(12): 3605-3618 (2006) |
| 5 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Noboru Murata:
Geometrical Structure of Boosting Algorithm.
New Generation Comput. 25(1): 117-141 (2006) |
| 2004 |
|---|
| 4 | EE | Takafumi Kanamori,
Takashi Takenouchi,
Shinto Eguchi,
Noboru Murata:
The Most Robust Loss Function for Boosting.
ICONIP 2004: 496-501 |
| 3 | EE | Noboru Murata,
Takashi Takenouchi,
Takafumi Kanamori,
Shinto Eguchi:
Information Geometry of U-Boost and Bregman Divergence.
Neural Computation 16(7): 1437-1481 (2004) |
| 2002 |
|---|
| 2 | EE | Takafumi Kanamori:
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution.
ICANN 2002: 535-540 |
| 1 | EE | Ichiro Takeuchi,
Yoshua Bengio,
Takafumi Kanamori:
Robust Regression with Asymmetric Heavy-Tail Noise Distributions.
Neural Computation 14(10): 2469-2496 (2002) |
