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DATE
2007
IEEE
108views Hardware» more  DATE 2007»
16 years 26 days ago
Speeding up SystemC simulation through process splitting
This paper presents a new approach that can be used to speed up SystemC simulations by automatically optimizing the model for simulation. The work addresses the inefficiency of th...
Youssef N. Naguib, Rafik S. Guindi
ANOR
2007
165views more  ANOR 2007»
15 years 6 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
IJCAI
2003
15 years 8 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
DSMML
2004
Springer
15 years 12 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
CSREAEEE
2006
145views Business» more  CSREAEEE 2006»
15 years 8 months ago
e-Business Systems: Exploring Knowledge Prospect Domains (KPDs)
Research was conducted in the area of sustainable knowledge extraction from e-business systems and technologies. Differentiating approaches from three notable authors in the field...
Daniel Botha