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JMLR
2010
162views more  JMLR 2010»
14 years 8 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 2 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
15 years 7 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
ECCV
2000
Springer
16 years 3 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
SBACPAD
2008
IEEE
170views Hardware» more  SBACPAD 2008»
15 years 8 months ago
Using Analytical Models to Efficiently Explore Hardware Transactional Memory and Multi-Core Co-Design
Transactional memory is emerging as a parallel programming paradigm for multi-core processors. Despite the recent interest in transactional memory, there has been no study to char...
James Poe, Chang-Burm Cho, Tao Li