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» Using Machine Learning to Focus Iterative Optimization
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ICML
2010
IEEE
15 years 4 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
TREC
2003
15 years 4 months ago
Methods for Accurate Retrieval of MEDLINE Citations in Functional Genomics
The lack of discipline and consistency in gene naming poses a formidable challenge to researchers in locating relevant information sources in the genomics literature. The research...
Mehmet Kayaalp, Alan R. Aronson, Susanne M. Humphr...
HPDC
1995
IEEE
15 years 6 months ago
Loop Scheduling for Heterogeneity
In this paper, we study the problem of scheduling parallel loops at compile-time for a heterogeneous network of machines. We consider heterogeneity in three aspects of parallel pr...
Michal Cierniak, Wei Li, Mohammed Javeed Zaki
LCPC
2005
Springer
15 years 8 months ago
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
Arkady Epshteyn, María Jesús Garzar&...
INFOCOM
2007
IEEE
15 years 9 months ago
Near-Optimal Data Dissemination Policies for Multi-Channel, Single Radio Wireless Sensor Networks
Abstract—We analyze the performance limits of data dissemination with multi-channel, single radio sensors. We formulate the problem of minimizing the average delay of data dissem...
David Starobinski, Weiyao Xiao, Xiangping Qin, Ari...