Planned Research
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
We developed a kernel-based method that extracts common features from multi-modal data based on mutual information. We also developed a transfer learning algorithm that is based on information geometrical e-mixture.We developed a method to extract mutual relation among multivariate time series such as neuron networks and share-sales data. We applied spatio-temporal data analysis to slow slip event.We succeeded to extract phase transition phenomena of associative memory neural network model in a data-driven manner.
機械学習
