— We consider decision making in a Markovian setup where the reward parameters are not known in advance. Our performance criterion is the gap between the performance of the best ...
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
Combining ideas from several previous proposals, such as Active Pages, DIVA, and ULMT, we present the Memory Arithmetic Unit and Interface (MAUI) architecture. Because the “inte...
Justin Teller, Charles B. Silio Jr., Bruce L. Jaco...
—To provide seamless mobility to the wireless user, a continuous connection to the Internet is required while moving from one administration domain to another. To enable continuo...
Patryk Chamuczynski, Omar Alfandi, Constantin Wern...