Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
To measure the productivity gained from computer-based authoring systems, account must be taken of changes in the way the work is organised. An analysis of economists' author...
William M. Newman, Margery Eldridge, Richard H. R....
In this paper, we introduce a new histogram equalizationbased environmental model adaptation method for robust speech recognition in noise environments. The proposed method adapts...
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...