667 search results - page 34 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
98
Voted
INTERSPEECH
2010
14 years 10 months ago
2010
Techniques for recording the vocal tract shape during speech such as X-ray microbeam or EMA track the spatial location of pellets attached to several articulators. Limitations of ...
156
Voted
UAI
2008
15 years 5 months ago
2008
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
124
Voted
TSMC
2008
15 years 3 months ago
2008
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
151
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
146
Voted
ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...