1282 search results - page 241 / 257 » Algorithms for Large, Sparse Network Alignment Problems |
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
CCR
2005
14 years 11 months ago
2005
A recent paper [8] presented methods for several steps along the road to synthesis of realistic traffic matrices. Such synthesis is needed because traffic matrices are a crucial i...
NOMS
2006
IEEE
15 years 5 months ago
2006
IEEE
— Flow-level traffic measurement is required for a wide range of applications including accounting, network planning and security management. A key design challenge is how to gr...
WWW
2008
ACM
16 years 12 days ago
2008
ACM
Online collaboration and sharing is the central theme of many webbased services that create the so-called Web 2.0 phenomena. Using the Internet as a computing platform, many Web 2...
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"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...