1282 search results - page 241 / 257 » Algorithms for Large, Sparse Network Alignment Problems |
132
Voted
CORR
2010
Springer
15 years 2 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 ...
122
Voted
CCR
2005
15 years 2 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...
105
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NOMS
2006
IEEE
15 years 8 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...
114
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WWW
2008
ACM
16 years 3 months 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...
195
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...