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» Inference Algorithms for Similarity Networks
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ATAL
2008
Springer
14 years 12 months ago
Not all agents are equal: scaling up distributed POMDPs for agent networks
Many applications of networks of agents, including mobile sensor networks, unmanned air vehicles, autonomous underwater vehicles, involve 100s of agents acting collaboratively und...
Janusz Marecki, Tapana Gupta, Pradeep Varakantham,...
JMLR
2012
13 years 11 days ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
TJS
2010
182views more  TJS 2010»
14 years 8 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
SIGCOMM
2006
ACM
15 years 3 months ago
Drafting behind Akamai (travelocity-based detouring)
To enhance web browsing experiences, content distribution networks (CDNs) move web content “closer” to clients by caching copies of web objects on thousands of servers worldwi...
Ao-Jan Su, David R. Choffnes, Aleksandar Kuzmanovi...
ICC
2007
IEEE
183views Communications» more  ICC 2007»
15 years 4 months ago
Most Reliable Routing in WDM Mesh Networks with Arbitrary Risk Distribution
— Assume the reliability of a connection is determined by the number of distinct risks associated with the path. We study the most reliable routing for WDM networks with arbitrar...
Ji Li, Kwan Lawrence Yeung