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» Approximate Flow-Aware Networking
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NIPS
2007
13 years 11 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
BIOSYSTEMS
2008
100views more  BIOSYSTEMS 2008»
13 years 9 months ago
Objective patterns in the evolving network of non-equivalent observers
The world's objective pattern is formed through consistent histories of quantum measurements originating as different branches of the same wave function. When we come close t...
Abir U. Igamberdiev
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 9 months ago
On Maximizing Coverage in Gaussian Relay Networks
Results for Gaussian relay channels typically focus on maximizing transmission rates for given locations of the source, relay and destination. We introduce an alternative perspecti...
Vaneet Aggarwal, Amir Bennatan, A. Robert Calderba...
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 9 months ago
Information Acquisition and Exploitation in Multichannel Wireless Networks
A wireless system with multiple channels is considered, where each channel has several transmission states. A user learns about the instantaneous state of an available channel by ...
Sudipto Guha, Kamesh Munagala, Saswati Sarkar
IANDC
2008
128views more  IANDC 2008»
13 years 9 months ago
Rule-based static analysis of network protocol implementations
Today's software systems communicate over the Internet using standard protocols that have been heavily scrutinized, providing some assurance of resistance to malicious attack...
Octavian Udrea, Cristian Lumezanu, Jeffrey S. Fost...