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EOR
2007
165views more  EOR 2007»
15 years 5 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
137
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FLAIRS
2006
15 years 6 months ago
Supporting Systematic Usage of Context in Web Applications
Context can be seen as a paradigm aiming to improve user interaction with software. For Web applications in particular, the issues of content explosion and technological constrain...
J. Wolfgang Kaltz, Jürgen Ziegler
COLING
2010
15 years 8 hour ago
Log-linear weight optimisation via Bayesian Adaptation in Statistical Machine Translation
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
Germán Sanchis-Trilles, Francisco Casacuber...
IFE
2010
161views more  IFE 2010»
15 years 3 months ago
Adaptive estimation and prediction of power and performance in high performance computing
Power consumption has become an increasingly important constraint in high-performancecomputing systems, shifting the focus from peak performance towards improving power efficiency...
Reza Zamani, Ahmad Afsahi
CORR
2009
Springer
242views Education» more  CORR 2009»
15 years 2 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...