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» Auxiliary Deep Generative Models
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UML
2005
Springer
14 years 4 months ago
Replicators: Transformations to Address Model Scalability
In Model Integrated Computing, it is often desirable to evaluate different design alternatives as they relate to issues of scalability. A typical approach to address scalability is...
Jeffrey G. Gray, Yuehua Lin, Jing Zhang, Steven No...
ACL
2011
13 years 2 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
AAAI
1990
14 years 1 days ago
Backward Model Tracing: An Explanation-Based Approach for Reconstructing Student Reasoning
An original methodology, called backward model tracing to model student performance which features a profitable integration of the bug collection and bug construction techniques i...
Danilo Fum, Paolo Giangrandi, Carlo Tasso
IJCNN
2006
IEEE
14 years 4 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
CVPR
2012
IEEE
12 years 1 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn