Providing up-to-date input to users’ applications is an important data management problem for a distributed computing environment, where each data storage location and intermedi...
Mitchell D. Theys, Noah Beck, Howard Jay Siegel, M...
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
— Recent advances have demonstrated the potential benefits of coordinated management of thermal load in data centers, including reduced cooling costs and improved resistance to ...
Justin D. Moore, Jeffrey S. Chase, Parthasarathy R...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...