1340 search results - page 154 / 268 » Structure learning of Bayesian networks using constraints |
150
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IJCAI
1997
15 years 5 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
141
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
140
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GLOBECOM
2009
IEEE
15 years 8 months ago
2009
IEEE
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
145
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ATAL
2005
Springer
15 years 10 months ago
2005
Springer
Many multi-agent systems consist of a complex network of autonomous yet interdependent agents. Examples of such networked multi-agent systems include supply chains and sensor netw...
141
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JKM
2006
15 years 4 months ago
2006
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...