Compensating transactions are intended to handle situations where it is required to undo either committed or uncommitted transactions that affect other transactions, without resor...
Henry F. Korth, Eliezer Levy, Abraham Silberschatz
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
This paper considers broadcast channels with L antennas at the base station and m single-antenna users, where each user has perfect channel knowledge and the base station obtains c...
The Transferable Belief Model is a powerful interpretation of belief function theory where decision making is based on the pignistic transform. Smets has proposed a generalization ...
Effective human/robot interfaces which mimic how humans interact with one another could ultimately lead to robots being accepted in a wider domain of applications. We present a fr...
Paul E. Rybski, Kevin Yoon, Jeremy Stolarz, Manuel...