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» Learning network structure from passive measurements
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IADIS
2003
15 years 5 months ago
Adaptive Web Service for QOS Improvement
In this paper we investigate how “self-awareness'', through on-line self-monitoring and measurement, coupled with intelligent adaptive behaviour in response to observe...
Erol Gelenbe, Arturo Núñez
IICS
2010
Springer
15 years 8 months ago
An Evaluation Framework for Semantic Search in P2P Networks
: We address the problem of evaluating peer-to-peer information retrieval (P2PIR) systems with semantic overlay structure. The P2PIR community lacks a commonly accepted testbed, su...
Florian Holz, Hans Friedrich Witschel, Gregor Hein...
JMLR
2010
155views more  JMLR 2010»
15 years 2 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
ICMLC
2010
Springer
15 years 2 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
TRIDENTCOM
2008
IEEE
15 years 10 months ago
A quantitative evaluation of the MeshTest wireless testbed
The MeshTest testbed is designed to subject wireless devices and protocols to realistic and repeatable mobile scenarios, including multi-hop and disconnected topologies. The testb...
Brenton Walker, Charles Clancy