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Kazunori Iwata 0002
Person information
- affiliation: Hiroshima City University, Japan
- affiliation (PhD): Kyoto University, Japan
Other persons with the same name
- Kazunori Iwata 0001
— Aichi University, Japan (and 1 more)
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2020 – today
- 2020
- [j12]Kazunori Iwata
Revisiting a Nearest Neighbor Method for Shape Classification. IEICE Trans. Inf. Syst. 103-D(12): 2649-2658 (2020)
2010 – 2019
- 2019
- [j11]Kazuya Ose, Kazunori Iwata
Sampling Shape Contours Using Optimization over a Geometric Graph. IEICE Trans. Inf. Syst. 102-D(12): 2547-2556 (2019) - 2018
- [c5]Kazunori Iwata
Shape Clustering as a Type of Procrustes Analysis. ICONIP (4) 2018: 218-227 - 2017
- [j10]Kazunori Iwata
Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1865-1877 (2017) - 2015
- [j9]Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata
A Spatially Correlated Mixture Model for Image Segmentation. IEICE Trans. Inf. Syst. 98-D(4): 930-937 (2015) - 2013
- [j8]Akira Hayashi, Kazunori Iwata
Marginalized Viterbi algorithm for hierarchical hidden Markov models. Pattern Recognit. 46(12): 3452-3459 (2013) - 2011
- [j7]Katsutoshi Ueaoki, Kazunori Iwata
Matching Handwritten Line Drawings with Von Mises Distributions. IEICE Trans. Inf. Syst. 94-D(12): 2487-2494 (2011) - [j6]Kazunori Iwata
An information-theoretic analysis of return maximization in reinforcement learning. Neural Networks 24(10): 1074-1081 (2011)
2000 – 2009
- 2008
- [j5]Kazunori Iwata
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
- [c4]Kazushi Ikeda
Information Geometry and Information Theory in Machine Learning. ICONIP (2) 2007: 295-304 - 2006
- [j4]Kazunori Iwata
The asymptotic equipartition property in reinforcement learning and its relation to return maximization. Neural Networks 19(1): 62-75 (2006) - [j3]Kazunori Iwata
A statistical property of multiagent learning based on Markov decision process. IEEE Trans. Neural Networks 17(4): 829-842 (2006) - 2005
- [j2]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. IEICE Trans. Inf. Syst. 88-D(1): 135-142 (2005) - [c3]Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda:
Stochastic Processes for Return Maximization in Reinforcement Learning. ICANN (2) 2005: 209-214 - 2004
- [j1]Kazunori Iwata
A new criterion using information gain for action selection strategy in reinforcement learning. IEEE Trans. Neural Networks 15(4): 792-799 (2004) - [c2]Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
Asymptotic equipartition property on empirical sequence in reinforcement learning. Neural Networks and Computational Intelligence 2004: 90-95 - 2003
- [c1]Kazunori Iwata, Kazushi Ikeda:
Temporal Difference Coding in Reinforcement Learning. IDEAL 2003: 218-227
Coauthor Index
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