363 search results - page 1 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
CDC
2009
IEEE
13 years 9 months ago
2009
IEEE
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
NLE
2010
13 years 3 months ago
2010
This paper focuses on an important step in the creation of a system of meaning representation and the development of semantically-annotated parallel corpora, for use in applicatio...
ECTEL
2009
Springer
13 years 11 months ago
2009
Springer
Adaptive course generation is more flexible if it includes mechanisms deciding just-in-time which exercises, which external resources, and which tools to include for an individual...