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JMLR
2010
195views more  JMLR 2010»
14 years 9 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
QUESTA
2010
107views more  QUESTA 2010»
14 years 9 months ago
On the inapproximability of M/G/K: why two moments of job size distribution are not enough
The M/G/K queueing system is one of the oldest model for multi-server systems, and has been the topic of performance papers for almost half a century. However, even now, only coar...
Varun Gupta, Mor Harchol-Balter, J. G. Dai, Bert Z...
RAID
2010
Springer
14 years 9 months ago
Automatic Discovery of Parasitic Malware
Malicious software includes functionality designed to block discovery or analysis by defensive utilities. To prevent correct attribution of undesirable behaviors to the malware, it...
Abhinav Srivastava, Jonathon T. Giffin
SCIENTOMETRICS
2010
109views more  SCIENTOMETRICS 2010»
14 years 9 months ago
To publish or not to publish? On the aggregation and drivers of research performance
This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the...
Kristof De Witte, Nicky Rogge
TKDE
2010
168views more  TKDE 2010»
14 years 9 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...