We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Abstract— Human can efficiently grasp and dextrously manipulate various objects using their fingers cooperatively. When they attain proficiency in the rotating manipulation of...
Yuichi Kurita, Kazuyuki Nagata, Jun Ueda, Yoshio M...
We consider nested nets, i.e. Petri nets in which tokens can be Petri nets themselves. We study value semantics of nested nets rather than reference semantics, and apply nested ne...
Kees M. van Hee, Irina A. Lomazova, Olivia Oanea, ...
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are bas...