Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
: Over the last 30 years or so many results have appeared on the descriptional complexity of machines with limited resources. Since these results have appeared in a variety of diff...
Jonathan Goldstine, Martin Kappes, Chandra M. R. K...
Machine understandable metadata forms the main prerequisite for the intelligent services envisaged in a Web, which going beyond mere data exchange and provides for effective conten...
Stamatia Dasiopoulou, Vassilis Tzouvaras, Ioannis ...
SCALASCA is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large-scale systems. It offers an incremental performan...
Markus Geimer, Felix Wolf, Brian J. N. Wylie, Erik...
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of pr...