2 papers
nlin.CD2008
Learning to imitate stochastic time series in a compositional way by chaos
Jun Namikawa, Jun Tani
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences combining multiple primitive patterns by means of self-organizing chaos. By train…
nlin.AO2007
A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance
Jun Namikawa, Jun Tani
This paper proposes a novel learning method for a mixture of recurrent neural network (RNN) experts model, which can acquire the ability to generate desired sequences by dynamicall…