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» Generality Is Predictive of Prediction Accuracy
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IJCAI
2003
15 years 5 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
AAAI
1997
15 years 5 months ago
The Scaling of Search Cost
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...
NETWORKING
2000
15 years 5 months ago
Performance of Short TCP Transfers
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 ...
Chadi Barakat, Eitan Altman
AAAI
1990
15 years 5 months ago
QPC: A Compiler from Physical Models into Qualitative Differential Equations
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
WCE
2007
15 years 5 months ago
Electrochemical Behaviour of Low Carbon Steel in Aqueous Solutions
- 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...
Farhad. Nabhani, A. M. Jasim, S. W. Graham