49 search results - page 6 / 10 » Finite State Transducers Approximating Hidden Markov Models |
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
114
Voted
EMNLP
2009
14 years 8 months ago
2009
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
IJCAI
1993
14 years 11 months ago
1993
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
88
Voted
ICML
2010
IEEE
14 years 8 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
72
Voted
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...