We describe a discrete time probabilitylogic for use as the representation language of a temporal knowledge base. In addition to the usual expressive power of a discrete temporal ...
Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld...
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
Recent deblocking techniques are based on spatial filtering. We present a new deblocking technique based on temporal filtering of spatially aligned frames. This approach is used i...
In many applications of temporal reasoning we are in terested in reasoning incrementally In particular, given a CSP of temporal constrains and a new constraint, we want to maint...