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» The Tradeoffs of Large Scale Learning
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IWNAS
2008
IEEE
14 years 2 months ago
Adaptive Consistency Guarantees for Large-Scale Replicated Services
To maintain consistency, designers of replicated services have traditionally been forced to choose from either strong consistency guarantees or none at all. Realizing that a conti...
Yijun Lu, Ying Lu, Hong Jiang
HPCA
1995
IEEE
13 years 11 months ago
Software Cache Coherence for Large Scale Multiprocessors
Shared memory is an appealing abstraction for parallel programming. It must be implemented with caches in order toperform well, however, and caches require a coherence mechanism t...
Leonidas I. Kontothanassis, Michael L. Scott
CMS
2001
133views Communications» more  CMS 2001»
13 years 9 months ago
Asynchronous Large-Scale Certification Based on Certificate Verification Trees
Good public-key infrastructures (PKIs) are essential to make electronic commerce secure. Quite recently, certificate verification trees (CVTs) have been introduced as a tool for im...
M. Mar Albà, Josep Domingo-Ferrer, Francesc...
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
13 years 9 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
ICML
2009
IEEE
14 years 8 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger