The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
This research uses functional data modelling to study the price formation process of online auctions. It conceptualizes the price curve and its first and second derivatives (veloc...
We deal with the problem of maintaining a dynamic graph so that queries of the form “is there an edge between u and v?” are processed fast. We consider graphs of bounded arbor...
The growth in the scale of systems and networks has created many challenges for their management, especially for event processing. Our premise is that scaling event processing requ...
Wei Xu, Joseph L. Hellerstein, Bill Kramer, David ...