Case-based reasoning systems routinely record the results of prior problem-solving, but not the provenance of new cases: the way in which the new cases were derived. This paper pro...
In this paper, we present our work on creating a complete set of rules for temporal arithmetic mixing months and days based on the “history-dependent intuition”. Many examples...
RFID-Based Systems have started to play a significant role in the automation of many business processes such as ERP systems and object tracking. Several efforts were made within t...
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...