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NIPS
2008
15 years 1 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
SIGMETRICS
2005
ACM
163views Hardware» more  SIGMETRICS 2005»
15 years 5 months ago
Smooth switching problem in buffered crossbar switches
Scalability considerations drive the switch fabric design to evolve from output queueing to input queueing and further to combined input and crosspoint queueing (CICQ). However, f...
Simin He, Shutao Sun, Wei Zhao, Yanfeng Zheng, Wen...
JCM
2006
85views more  JCM 2006»
14 years 11 months ago
Round-trip Time Variation in SmoothTCP in the Face of Spurious Errors
In this paper, we review the definition of a variant of TCP, called SmoothTCP, and describe one of its versions which uses ICMP-SQ messages as its primary control metric. This vers...
Elvis Vieira, Michael Bauer
ICASSP
2008
IEEE
15 years 6 months ago
Variance reduction with neighborhood smoothing for local intrinsic dimension estimation
Local intrinsic dimension estimation has been shown to be useful for many tasks such as image segmentation, anomaly detection, and de-biasing global dimension estimates. Of partic...
Kevin M. Carter, Alfred O. Hero
ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
15 years 6 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta