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» Toward network data independence
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102
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JMLR
2010
106views more  JMLR 2010»
14 years 7 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
118
Voted
JUCS
2008
166views more  JUCS 2008»
15 years 15 days ago
Exposure and Support of Latent Social Networks among Learning Object Repository Users
Abstract: Although immense efforts have been invested in the construction of hundreds of learning object repositories, the degree of reuse of learning resources maintained in such ...
Peng Han, Gerd Kortemeyer, Bernd J. Krämer, C...
TPDS
2008
80views more  TPDS 2008»
15 years 13 days ago
Scalable and Efficient End-to-End Network Topology Inference
To construct an efficient overlay network, the information of underlay is important. We consider using end-to-end measurement tools such as traceroute to infer the underlay topolog...
Xing Jin, Wanqing Tu, S.-H. Gary Chan
103
Voted
SRDS
2010
IEEE
14 years 10 months ago
P-Store: Genuine Partial Replication in Wide Area Networks
Partial replication is a way to increase the scalability of replicated systems since updates only need to be applied to a subset of the system's sites, thus allowing replicas...
Nicolas Schiper, Pierre Sutra, Fernando Pedone
130
Voted
HYBRID
2011
Springer
14 years 6 days ago
Reputation-based networked control with data-corrupting channels
We examine the problem of reliable networked control when the communication channel between the controller and the actuator periodically drops packets and is faulty i.e., corrupts...
Shreyas Sundaram, Jian Chang, Krishna K. Venkatasu...