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TNN
2010
176views Management» more  TNN 2010»
7 years 11 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
CODASPY
2016
3 years 19 days ago
Toward Large-Scale Vulnerability Discovery using Machine Learning
With sustained growth of software complexity, ļ¬nding security vulnerabilities in operating systems has become an important necessity. Nowadays, OS are shipped with thousands of ...
Gustavo Grieco, Guillermo Luis Grinblat, Lucas C. ...
BMCBI
2008
220views more  BMCBI 2008»
8 years 4 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
COLING
2010
7 years 11 months ago
Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation
We describe an approach to automatically learn reordering rules to be applied as a preprocessing step in phrase-based machine translation. We learn rules for 8 different language ...
Dmitriy Genzel
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