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FOCS
1990
IEEE
15 years 4 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
CF
2007
ACM
15 years 3 months ago
Parallel genomic sequence-search on a massively parallel system
In the life sciences, genomic databases for sequence search have been growing exponentially in size. As a result, faster sequencesearch algorithms to search these databases contin...
Oystein Thorsen, Brian E. Smith, Carlos P. Sosa, K...
CGO
2009
IEEE
15 years 3 months ago
Communication-Sensitive Static Dataflow for Parallel Message Passing Applications
Message passing is a very popular style of parallel programming, used in a wide variety of applications and supported by many APIs, such as BSD sockets, MPI and PVM. Its importance...
Greg Bronevetsky
QOSA
2010
Springer
15 years 3 months ago
Validating Model-Driven Performance Predictions on Random Software Systems
Abstract. Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurem...
Vlastimil Babka, Petr Tuma, Lubomír Bulej
DOLAP
2007
ACM
15 years 3 months ago
Optimal chunking of large multidimensional arrays for data warehousing
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
Ekow J. Otoo, Doron Rotem, Sridhar Seshadri
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