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EMNLP
2006
14 years 11 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
PLDI
2011
ACM
14 years 16 days ago
EnerJ: approximate data types for safe and general low-power computation
Energy is increasingly a first-order concern in computer systems. Exploiting energy-accuracy trade-offs is an attractive choice in applications that can tolerate inaccuracies. Re...
Adrian Sampson, Werner Dietl, Emily Fortuna, Danus...
IJON
2000
61views more  IJON 2000»
14 years 9 months ago
Encoding multiple orientations in a recurrent network
Models containing recurrent connections amongst the cells within a population can account for a range of empirical data on orientation selectivity in striate cortex. However, exis...
Richard S. Zemel, Jonathan Pillow
68
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SAC
2004
ACM
15 years 3 months ago
A relational approach to software metrics
There is still no standardization of software measures and metrics extraction tools have to be updated frequently to handle the changes. A possible solution is represented by usin...
Marco Scotto, Alberto Sillitti, Giancarlo Succi, T...
78
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INLG
2004
Springer
15 years 3 months ago
Context-Based Incremental Generation for Dialogue
This paper describes an implemented model of context-based incremental tactical generation within the Dynamic Syntax framework [1] which directly reflects dialogue phenomena such ...
Matthew Purver, Ruth Kempson