Kazunori Iwata

According to our database, Kazunori Iwata authored at least 18 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Use of several non-Euclidean metrics to compute distances between every two points in a plane bounded convex set.

Kazunori Iwata

J. Comput. Sci., 2025

2020

Revisiting a Nearest Neighbor Method for Shape Classification.

Kazunori Iwata

IEICE Trans. Inf. Syst., 2020

2019

Sampling Shape Contours Using Optimization over a Geometric Graph.

Kazuya Ose, Kazunori Iwata, Nobuo Suematsu

IEICE Trans. Inf. Syst., 2019

2018

Shape Clustering as a Type of Procrustes Analysis.

Kazunori Iwata

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning.

Kazunori Iwata

IEEE Trans. Neural Networks Learn. Syst., 2017

2015

A Spatially Correlated Mixture Model for Image Segmentation.

Kosei Kurisu, Nobuo Suematsu, Kazunori Iwata, Akira Hayashi

IEICE Trans. Inf. Syst., 2015

2013

Marginalized Viterbi algorithm for hierarchical hidden Markov models.

Akira Hayashi, Kazunori Iwata, Nobuo Suematsu

Pattern Recognit., 2013

2011

An information-theoretic analysis of return maximization in reinforcement learning.

Kazunori Iwata

Neural Networks, 2011

Matching Handwritten Line Drawings with Von Mises Distributions.

Katsutoshi Ueaoki, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi

IEICE Trans. Inf. Syst., 2011

2008

A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria.

Kazunori Iwata, Akira Hayashi

IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007

Information Geometry and Information Theory in Machine Learning.

Kazushi Ikeda, Kazunori Iwata

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

A statistical property of multiagent learning based on Markov decision process.

Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai

IEEE Trans. Neural Networks, 2006

The asymptotic equipartition property in reinforcement learning and its relation to return maximization.

Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai

Neural Networks, 2006

2005

On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning.

Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai

IEICE Trans. Inf. Syst., 2005

Stochastic Processes for Return Maximization in Reinforcement Learning.

Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

A new criterion using information gain for action selection strategy in reinforcement learning.

Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai

IEEE Trans. Neural Networks, 2004

Asymptotic equipartition property on empirical sequence in reinforcement learning.

Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

2003

Temporal Difference Coding in Reinforcement Learning.

Kazunori Iwata, Kazushi Ikeda

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003