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» The Tradeoffs of Large Scale Learning
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IPPS
2005
IEEE
14 years 1 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 8 months ago
Ergodic and Outage Performance of Fading Broadcast Channels with 1-Bit Feedback
In this paper, the ergodic sum-rate and outage probability of a downlink single-antenna channel with K users are analyzed in the presence of Rayleigh flat fading, where limited cha...
Bo Niu, Osvaldo Simeone, Oren Somekh, Alexander M....
ICDCS
2002
IEEE
14 years 28 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
ICML
2007
IEEE
14 years 8 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
DAGM
2006
Springer
13 years 11 months ago
Towards Unsupervised Discovery of Visual Categories
Recently, many approaches have been proposed for visual object category detection. They vary greatly in terms of how much supervision is needed. High performance object detection m...
Mario Fritz, Bernt Schiele