We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
: A framework is presented for hypermedia access to weather information originating from gridded data sets. The information is presented on different media (map, text, graph, table...
We propose in this paper a general framework for integrating inductive and case-based reasoning (CBR) techniques for diagnosis tasks. We present a set of practical integrated appro...
Eric Auriol, Michel Manago, Klaus-Dieter Althoff, ...