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Found 6 papers, 4 papers with code
Characteristics of networks generated by kernel growing neural gas
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 GNG.
An efficient and straightforward online quantization method for a data stream through remove-birth updating
The characteristics of a data stream may change dynamically, and this change is known as concept drift.
AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training Partner
We believe that the AlphaDDA approach for DDA can be used for any game AI system if the DNN can accurately estimate the value of the game state and we know a parameter controlling the skills of the AI system.
Estimation of the number of clusters on d-dimensional sphere
Spherical data is distributed on the sphere.
Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas
ASC with GNG calculates the similarity matrix from both the reference vectors and the topology of the network generated by GNG.
Extract an essential skeleton of a character as a graph from a character image
If the skeleton of a character is represented as a graph, we can more easily extract the features.
