7065 search results - page 1164 / 1413 » Iterative Scheduling Algorithms |
152
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IJCAI
1989
15 years 7 months ago
1989
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
179
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ECCV
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
189
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AAI
2007
15 years 6 months ago
2007
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
187
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BMCBI
2008
15 years 6 months ago
2008
Background: Quasi-steady state approximation (QSSA) based on time-scale analysis is known to be an effective method for simplifying metabolic reaction system, but the conventional...
159
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COMCOM
2006
15 years 6 months ago
2006
Nominee selection plays a key role in nominee-based congestion control, which is essential for multicast services to ensure fairness and congestion avoidance. Without valid design...