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COLING
2000
15 years 8 months ago
A Model of Competence for Corpus-Based Machine Translation
A translation is a conversion from a source language into a target language preserving the meaning. A huge number of techniques and computational approaches have been experimented...
Michael Carl
JMLR
2012
13 years 9 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
POPL
2009
ACM
16 years 2 months ago
Declarative aspects of memory management in the concurrent collections parallel programming model
Concurrent Collections (CnC)[8] is a declarative parallel language that allows the application developer to express their parallel application as a collection of high-level comput...
Zoran Budimlic, Aparna Chandramowlishwaran, Kathle...
282
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FDL
2005
IEEE
16 years 1 months ago
Using feature models to automate model transformations
This paper presents work in progress to explore the possibility of combining model-driven and domain modeling techniques to facilitate support for reuse and automation. The approa...
Johan Lilius, Dragos Truscan
MODELS
2007
Springer
16 years 1 months ago
MATA: A Tool for Aspect-Oriented Modeling Based on Graph Transformation
This paper describes MATA (Modeling Aspects Using a Transformation Approach), a UML aspect-oriented modeling tool that uses graph transformations to specify and compose aspects. Gr...
Jon Whittle, Praveen K. Jayaraman