Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
We show that a resealed constrainedness parameter provides the basis for accurate numerical models of search cost for both backtracking and local search algorithms. In the past, t...
Ian P. Gent, Ewan MacIntyre, Patrick Prosser, Toby...
Many works have studied the negative impact of slow start on the performance of short transfers. Some works propose to accelerate the window increase during this phase in order to ...
Qualitative reasoning can, and should, be decomposed into a model-building task, which creates a qualitative differential equation (QDE) as a model of a physical situation, and a ...
James M. Crawford, Adam Farquhar, Benjamin Kuipers
- An effective way of assessing corrosion in pipelines before serious consequences occur is to use tools that can predict the future of a pipeline through an understanding of its p...