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…