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JMLR
2010
106views more  JMLR 2010»
14 years 10 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, ...
155
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JMLR
2010
140views more  JMLR 2010»
14 years 10 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
JSAC
2010
146views more  JSAC 2010»
14 years 10 months ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...
160
Voted
JSAC
2010
120views more  JSAC 2010»
14 years 10 months ago
Simple movement control algorithm for bi-connectivity in robotic sensor networks
Robotic sensor networks are more powerful than sensor networks because the sensors can be moved by the robots to adjust their sensing coverage. In robotic sensor networks, an impor...
Hai Liu, Xiaowen Chu, Yiu-Wing Leung, Rui Du
139
Voted
JSS
2010
142views more  JSS 2010»
14 years 10 months ago
Analysis of service availability for time-triggered rejuvenation policies
In this paper we investigate the effect of three time-triggered system rejuvenation policies on service availability using a queuing model. The model is formulated as an extended ...
Felix Salfner, Katinka Wolter