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NIPS
2007
15 years 5 months ago
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
Matthias Bethge, Philipp Berens
ECIS
2001
15 years 5 months ago
Using Problem-Domain and Artefact-Domain Architectural Modelling to Understand System Evolution
The authors describe on going research to uncover the architectonic nature of artefacts and see how these may be related to high-level, but also grounded, model of the original pr...
Thomas R. Addis, Galal Hassan Galal
138
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NIPS
2004
15 years 5 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
ACL
2010
15 years 2 months ago
A Rational Model of Eye Movement Control in Reading
A number of results in the study of realtime sentence comprehension have been explained by computational models as resulting from the rational use of probabilistic linguistic info...
Klinton Bicknell, Roger Levy
ICCAD
1999
IEEE
62views Hardware» more  ICCAD 1999»
15 years 8 months ago
A scalable substrate noise coupling model for mixed-signal ICs
A scalable macromodel for substrate noise coupling in heavily doped substrates has been developed. This model is simple since it requires only four parameters which can readily be ...
Anil Samavedam, Kartikeya Mayaram, Terri S. Fiez