| 2008 |
| 14 | EE | Kazunori Iwata,
Akira Hayashi:
A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria.
IEEE Trans. Pattern Anal. Mach. Intell. 30(1): 76-88 (2008) |
| 2007 |
| 13 | EE | Kazunori Iwata,
Akira Hayashi:
Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis.
ICANN (2) 2007: 311-320 |
| 12 | EE | Takaaki Sugiura,
Naoto Gotou,
Akira Hayashi:
A Discriminative Model Corresponding to Hierarchical HMMs.
IDEAL 2007: 375-384 |
| 2006 |
| 11 | EE | Mitsuharu Emoto,
Akira Hayashi,
Nobuo Suematsu,
Kazunori Iwata:
View Independent Gait Identification Using a Particle Filter.
AVSS 2006: 74 |
| 10 | EE | Kazunori Iwata,
Akira Hayashi:
Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters.
ICANN (2) 2006: 311-320 |
| 9 | EE | 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 |
| 8 | EE | Naoto Gotou,
Akira Hayashi,
Nobuo Suematsu:
Learning with Segment Boundaries for Hierarchical HMMs.
ICAPR (1) 2005: 538-543 |
| 7 | EE | Akira Hayashi,
Yuko Mizuhara,
Nobuo Suematsu:
Embedding Time Series Data for Classification.
MLDM 2005: 356-365 |
| 6 | EE | Akira Hayashi:
Foreword.
IEICE Transactions 88-A(1): 1 (2005) |
| 2002 |
| 5 | EE | Nobuo Suematsu,
Akira Hayashi:
A multiagent reinforcement learning algorithm using extended optimal response.
AAMAS 2002: 370-377 |
| 1998 |
| 4 | EE | Nobuo Suematsu,
Akira Hayashi:
A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory.
NIPS 1998: 1059-1065 |
| 3 | EE | Akira Hayashi,
Nobuo Suematsu:
Viewing Classifier Systems as Model Free Learning in POMDPs.
NIPS 1998: 989-995 |
| 1997 |
| 2 | | Nobuo Suematsu,
Akira Hayashi,
Shigang Li:
A Bayesian Approach to Model Learning in Non-Markovian Environments.
ICML 1997: 349-357 |
| 1991 |
| 1 | | Akira Hayashi,
Benjamin Kuipers:
Path Planning for Highly Redundant Manipulators Using a Continuous Model.
AAAI 1991: 666-672 |