15614 search results - page 27 / 3123 » The State of State |
AUTOMATICA
2005
13 years 7 months ago
2005
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
AAAI
1998
13 years 9 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
OSDI
2006
ACM
14 years 7 months ago
2006
ACM
Mismanagement of the persistent state of a system--all the executable files, configuration settings and other data that govern how a system functions--causes reliability problems,...
PRICAI
2000
Springer
13 years 11 months ago
2000
Springer
Autonomous state generalization problem is a key issue in the research field of behavior learning of reactive agents, and many approaches have been proposed in recent years. Howeve...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...