 | 2008 |
|---|
| 10 |       | Kumiko Maebashi,
Nobuo Suematsu,
Akira Hayashi:
Component Reduction for Gaussian Mixture Models.
IEICE Transactions 91-D(12): 2846-2853 (2008) |
| 2007 |
|---|
| 9 | | Kumiko Maebashi,
Nobuo Suematsu,
Akira Hayashi:
Component Reduction for Hierarchical Mixture Model Construction.
ICONIP (2) 2007: 326-335 |
| 2006 |
|---|
| 8 | | Mitsuharu Emoto,
Akira Hayashi,
Nobuo Suematsu,
Kazunori Iwata:
View Independent Gait Identification Using a Particle Filter.
AVSS 2006: 74 |
| 7 | | Yuko Mizuhara,
Akira Hayashi,
Nobuo Suematsu:
Embedding of time series data by using dynamic time warping distances.
Systems and Computers in Japan 37(3): 1-9 (2006) |
| 2005 |
|---|
| 6 | | Naoto Gotou,
Akira Hayashi,
Nobuo Suematsu:
Learning with Segment Boundaries for Hierarchical HMMs.
ICAPR (1) 2005: 538-543 |
| 5 | | Akira Hayashi,
Yuko Mizuhara,
Nobuo Suematsu:
Embedding Time Series Data for Classification.
MLDM 2005: 356-365 |
| 2002 |
|---|
| 4 | | Nobuo Suematsu,
Akira Hayashi:
A multiagent reinforcement learning algorithm using extended optimal response.
AAMAS 2002: 370-377 |
| 1998 |
|---|
| 3 | | Nobuo Suematsu,
Akira Hayashi:
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory.
NIPS 1998: 1059-1065 |
| 2 | | Akira Hayashi,
Nobuo Suematsu:
Viewing Classifier Systems as Model Free Learning in POMDPs.
NIPS 1998: 989-995 |
| 1997 |
|---|
| 1 |  | Nobuo Suematsu,
Akira Hayashi,
Shigang Li:
A Bayesian Approach to Model Learning in Non-Markovian Environments.
ICML 1997: 349-357 |
