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» On Bayesian model and variable selection using MCMC
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SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
15 years 1 months ago
Relaxed parametric design with probabilistic constraints
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Yacov Hel-Or, Ari Rappoport, Michael Werman
SPLC
2008
14 years 11 months ago
Towards Separation of Concerns in Model Transformation Workflows
Model-driven software product lines are an emerging topic in research and industry, as they promise higher development speed and easier adaptability to customer needs. The generat...
Christoph Elsner, Daniel Lohmann, Wolfgang Schr&ou...
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 9 months ago
A CHAID Based Performance Prediction Model in Educational Data Mining
The performance in higher secondary school education in India is a turning point in the academic lives of all students. As this academic performance is influenced by many factors,...
M. Ramaswami, R. Bhaskaran
ATAL
2004
Springer
15 years 3 months ago
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
CSL
2008
Springer
14 years 9 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos