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EOR
2007
165views more  EOR 2007»
15 years 7 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
FLAIRS
2006
15 years 8 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 2 months 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 5 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
HIS
2004
15 years 8 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie