| 2008 |
|---|
| 11 | EE | Tomoharu Iwata,
Takeshi Yamada,
Naonori Ueda:
Probabilistic latent semantic visualization: topic model for visualizing documents.
KDD 2008: 363-371 |
| 10 | EE | Takuya Goto,
Tomoko Kojiri,
Toyohide Watanabe,
Takeshi Yamada,
Tomoharu Iwata:
English Grammar Learning System Based on Knowledge Network of Fill-in-the-Blank Exercises.
KES (3) 2008: 588-595 |
| 9 | EE | Tomoharu Iwata,
Tomoko Kojiri,
Takeshi Yamada,
Toyohide Watanabe:
Recommendation Algorithm for Learning Materials That Maximizes Expected Test Scores.
PRICAI 2008: 965-970 |
| 8 | EE | Tomoharu Iwata,
Kazumi Saito,
Takeshi Yamada:
Recommendation Method for Improving Customer Lifetime Value.
IEEE Trans. Knowl. Data Eng. 20(9): 1254-1263 (2008) |
| 2007 |
|---|
| 7 | EE | Masahide Kakehi,
Tomoko Kojiri,
Toyohide Watanabe,
Takeshi Yamada,
Tomoharu Iwata:
Organization of Discussion Knowledge Graph from Collaborative Learning Record.
KES (3) 2007: 600-607 |
| 6 | EE | Tomoharu Iwata,
Kazumi Saito,
Takeshi Yamada:
Modeling user behavior in recommender systems based on maximum entropy.
WWW 2007: 1281-1282 |
| 5 | EE | Tomoharu Iwata,
Kazumi Saito,
Naonori Ueda,
Sean Stromsten,
Thomas L. Griffiths,
Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization.
Neural Computation 19(9): 2536-2556 (2007) |
| 2006 |
|---|
| 4 | EE | Tomoharu Iwata,
Kazumi Saito,
Naonori Ueda:
Visual nonlinear discriminant analysis for classifier design.
ESANN 2006: 283-288 |
| 3 | EE | Tomoharu Iwata,
Kazumi Saito,
Takeshi Yamada:
Recommendation method for extending subscription periods.
KDD 2006: 574-579 |
| 2004 |
|---|
| 2 | EE | Tomoharu Iwata,
Kazumi Saito:
Visualisation of Anomaly Using Mixture Model.
KES 2004: 624-631 |
| 1 | EE | Tomoharu Iwata,
Kazumi Saito,
Naonori Ueda,
Sean Stromsten,
Thomas L. Griffiths,
Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization.
NIPS 2004 |
