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» GraphLab: A New Framework for Parallel Machine Learning
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ACL
2010
13 years 5 months ago
Pseudo-Word for Phrase-Based Machine Translation
The pipeline of most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus. But word appears to be too fine-grained ...
Xiangyu Duan, Min Zhang, Haizhou Li
CLUSTER
2009
IEEE
14 years 2 months ago
Scalable I/O forwarding framework for high-performance computing systems
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
Nawab Ali, Philip H. Carns, Kamil Iskra, Dries Kim...
ICML
2008
IEEE
14 years 8 months ago
Optimized cutting plane algorithm for support vector machines
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
Sören Sonnenburg, Vojtech Franc
ICML
2004
IEEE
14 years 8 months ago
Hyperplane margin classifiers on the multinomial manifold
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
Guy Lebanon, John D. Lafferty
ICML
2005
IEEE
14 years 8 months ago
Interactive learning of mappings from visual percepts to actions
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Justus H. Piater, Sébastien Jodogne