activity
20202023
collaborators

5 papers

cs.LG2023

Characteristics of networks generated by kernel growing neural gas

Kazuhisa Fujita

This research aims to develop kernel GNG, a kernelized version of the growing neural gas (GNG) algorithm, and to investigate the features of the networks generated by the kernel GN…

cs.LG2023

An efficient and straightforward online quantization method for a data stream through remove-birth updating

Kazuhisa Fujita

The growth of network-connected devices has led to an exponential increase in data generation, creating significant challenges for efficient data analysis. This data is generated c…

cs.LG2021

AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training Partner

Kazuhisa Fujita

Artificial intelligence (AI) has achieved superhuman performance in board games such as Go, chess, and Othello (Reversi). In other words, the AI system surpasses the level of a str…

cs.LG2020

Estimation of the number of clusters on d-dimensional sphere

Kazuhisa Fujita

Spherical data is distributed on the sphere. The data appears in various fields such as meteorology, biology, and natural language processing. However, a method for analysis of sph…

cs.LG2020

Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas

Kazuhisa Fujita

Spectral clustering (SC) is one of the most popular clustering methods and often outperforms traditional clustering methods. SC uses the eigenvectors of a Laplacian matrix calculat…