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ICML
2010
IEEE
13 years 9 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
IPPS
2000
IEEE
13 years 11 months ago
Bandwidth-Efficient Collective Communication for Clustered Wide Area Systems
Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A major problem in programming parallel applications for such platforms is their hierarchi...
Thilo Kielmann, Henri E. Bal, Sergei Gorlatch
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 6 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
WINE
2009
Springer
200views Economy» more  WINE 2009»
14 years 10 days ago
Pricing Strategies for Viral Marketing on Social Networks
Abstract. We study the use of viral marketing strategies on social networks that seek to maximize revenue from the sale of a single product. We propose a model in which the decisio...
David Arthur, Rajeev Motwani, Aneesh Sharma, Ying ...
ATAL
2006
Springer
13 years 11 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith