99 search results - page 3 / 20 » Learning Hidden Markov Models with Distributed State Represe... |
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
IROS
2007
IEEE
14 years 17 days ago
2007
IEEE
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
ICML
1999
IEEE
14 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
ACII
2011
Springer
12 years 6 months ago
2011
Springer
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...