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» Computational Models of Language Acquisition
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161
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PVLDB
2008
182views more  PVLDB 2008»
15 years 2 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
GI
2009
Springer
15 years 1 months ago
A BPMN Case Study: Paper Review and Submission System
: We explore the expressiveness of the BPMN workflow modelling language by applying it to MuCoMS, a paper submission system. This well known application domain is a suitable exampl...
Markus Kirchberg, Ove Sörensen, Bernhard Thal...
181
Voted
ICALP
2011
Springer
14 years 6 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
PPOPP
2011
ACM
14 years 6 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
133
Voted
ICALP
2009
Springer
16 years 3 months ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...