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...
This essay is designed to organize a range of experimental findings and theoretical insights of the past 25 years into a coherent view of the brain’s style of function. The view...
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
The autonomic workflow engine enables workflow to be dynamically specified and adapted using Event-Condition-Action rules. A new approach to autonomic execution of workflow process...
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...