916 search results - page 112 / 184 » Algorithm selection: a quantitative computation-intensive op... |
132
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TON
2002
15 years 2 months ago
2002
Abstract--Research on congestion-control algorithms has traditionally focused more on performance than on robustness of the closed-loop system to changes in network conditions. As ...
120
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JACM
2006
15 years 3 months ago
2006
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
115
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
134
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DAC
2003
ACM
16 years 4 months ago
2003
ACM
We propose the first systematic, sensor-centric approach for quantitative design of sensor network appliances. We demonstrate its use by designing light appliance devices and the ...
146
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MICCAI
2009
Springer
15 years 7 months ago
2009
Springer
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...