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» GraphLab: A New Framework for Parallel Machine Learning
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MLDM
2009
Springer
14 years 2 days ago
Selection of Subsets of Ordered Features in Machine Learning
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
Oleg Seredin, Andrey Kopylov, Vadim Mottl
IPPS
2007
IEEE
14 years 1 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
ICPR
2010
IEEE
14 years 2 months ago
Adding Classes Online in Error Correcting Output Codes Framework
—This article proposes a general extension of the Error Correcting Output Codes (ECOC) framework to the online learning scenario. As a result, the final classifier handles the ...
Sergio Escalera, David Masip, Eloi Puertas, Petia ...
IPPS
2003
IEEE
14 years 23 days ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
IPPS
1999
IEEE
13 years 11 months ago
A Transformational Framework for Skeletal Programs: Overview and Case Study
A structured approach to parallel programming allows to construct applications by composing skeletons, i.e., recurring patterns of task- and data-parallelism. First academic and co...
Sergei Gorlatch, Susanna Pelagatti