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112
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ECMDAFA
2009
Springer
109views Hardware» more  ECMDAFA 2009»
15 years 10 months ago
Uniform Random Generation of Huge Metamodel Instances
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
Alix Mougenot, Alexis Darrasse, Xavier Blanc, Mich...
119
Voted
SPATIALCOGNITION
2004
Springer
15 years 9 months ago
A Model for Context-Specific Route Directions
Wayfinding, i.e. getting from some origin to a destination, is one of the prime everyday problems humans encounter. It has received a lot of attention in research and many (commerc...
Kai-Florian Richter, Alexander Klippel
141
Voted
ICML
2009
IEEE
16 years 4 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
121
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
130
Voted
NIPS
2004
15 years 5 months ago
Learning first-order Markov models for control
First-order Markov models have been successfully applied to many problems, for example in modeling sequential data using Markov chains, and modeling control problems using the Mar...
Pieter Abbeel, Andrew Y. Ng