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NIPS
2008
13 years 9 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht
CORR
2007
Springer
72views Education» more  CORR 2007»
13 years 8 months ago
How much feedback is required in MIMO Broadcast Channels?
— In this paper, a downlink communication system, in which a Base Station (BS) equipped with M antennas communicates with N users each equipped with K receive antennas is conside...
Alireza Bayesteh, Amir K. Khandani
VTC
2008
IEEE
14 years 2 months ago
UMTS on the Road: Broadcasting Intelligent Road Safety Information via MBMS
Abstract—In this work we explore the feasibility of implementing infrastructure-to-vehicle (I2V) communication through the UMTS infrastructure. We identify the problems that aris...
Danilo Valerio, Fabio Ricciato, Pavle Belanovic, T...
LION
2007
Springer
100views Optimization» more  LION 2007»
14 years 2 months ago
Nested Partitioning for the Minimum Energy Broadcast Problem
The problem of finding the broadcast scheme with minimum power consumption in a wireless ad-hoc network is NP-hard. This work presents a new hybrid algorithm to solve this problem...
Sameh Al-Shihabi, Peter Merz, Steffen Wolf
ASIACRYPT
1999
Springer
14 years 11 days ago
Approximation Hardness and Secure Communication in Broadcast Channels
Problems of secure communication and computation have been studied extensively in network models. Goldreich, Goldwasser, and Linial, Franklin and Yung, and Franklin and Wright have...
Yvo Desmedt, Yongge Wang