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» The Emergent neural modeling system
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COMPLEXITY
2010
129views more  COMPLEXITY 2010»
15 years 3 months ago
The notion of computation is fundamental to an autonomous neuroscience
The increasing sophistication of the tools and results of cellular and molecular neuroscience would appear to suggest that explanatory force in neuroscience is defined by reductio...
Garrett Neske
SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
CASES
2006
ACM
16 years 14 days ago
Automatic performance model construction for the fast software exploration of new hardware designs
Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
John Cavazos, Christophe Dubach, Felix V. Agakov, ...
NIPS
1997
15 years 7 months ago
Bayesian Model of Surface Perception
Image intensity variations can result from several different object surface effects, including shading from 3-dimensional relief of the object, or paint on the surface itself. An ...
William T. Freeman, Paul A. Viola
MICAI
2005
Springer
16 years 1 hour ago
Agent-Based Simulation Replication: A Model Driven Architecture Approach
In Multi-agent based simulation (MABS) systems, computational models are built as multi-agent systems (MAS). Replication of these models can contribute to improve the reliability o...
Candelaria Sansores, Juan Pavón