We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
We investigate the behaviour of load-adaptive rerouting policies in the Wardrop model where decisions must be made on the basis of stale information. In this model, an infinite n...
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
To share resources in open distributed systems we have developed autonomous mobile programs, which periodically use a cost model to decide where to execute in a network. In additi...
This paper addresses the problem of transforming natural language descriptions of contracts into a form that is suitable for automating various contract management functions. We i...