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CORR
2007
Springer
97views Education» more  CORR 2007»
14 years 11 months ago
Estimation of the Rate-Distortion Function
—Motivated by questions in lossy data compression and by theoretical considerations, the problem of estimating the rate-distortion function of an unknown (not necessarily discret...
Matthew T. Harrison, Ioannis Kontoyiannis
ISPD
2012
ACM
248views Hardware» more  ISPD 2012»
13 years 7 months ago
A fast estimation of SRAM failure rate using probability collectives
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...
JMLR
2011
110views more  JMLR 2011»
14 years 6 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel
INFOCOM
2012
IEEE
13 years 2 months ago
An effective hop-by-hop Interest shaping mechanism for CCN communications
Abstract—We introduce a rate-based congestion control mechanism for Content-Centric Networking (CCN). It builds on the fact that one Interest retrieves at most one Data packet. C...
Natalya Rozhnova, Serge Fdida
NIPS
1993
15 years 1 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr