— Combining both intervals and discrete sets of numbers, this paper presents a definition for an extended grey number model representing both continuous and discrete grey number...
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Most automatic expression analysis systems attempt to recognize a small set of prototypic expressions (e.g. happiness and anger). Such prototypic expressions, however, occur infre...
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...