In this paper we ask to what extent collective cognition can be supported and sustained in classroom practices. One major challenge for learning in technology-rich, collaborative ...
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
In speech interfaces users must be aware what can be done with the system – in other words, the system must provide information to help the users to know what to say. We have ad...
Esa-Pekka Salonen, Mikko Hartikainen, Markku Turun...