1916 search results - page 289 / 384 » Reconfiguring a state machine |
APIN
2002
13 years 9 months ago
2002
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
ML
1998
ACM
13 years 8 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
VEE
2012
ACM
12 years 4 months ago
2012
ACM
Flexible and efficient runtime design requires an understanding of the dependencies among the components internal to the runtime and those between the application and the runtime...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...