Ju n 20 07 Learning to segment temporal sequences by mixture of RNN experts with adaptive variance model

This paper proposes a novel method for learning with a “mixtu re of experts” type model, which can acquire the ability to generate desired seq uences by switching experts dynamically. Our method is based on maximum like lihood estimation using gradient descent algorithm similar to conventional m ethods, though the likelihood function is modified by adding… CONTINUE READING