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CONPAR
1994
13 years 11 months ago
A Software Architecture for Multidisciplinary Applications: Integrating Task and Data Parallelism
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scienti c and engineering appl...
Barbara M. Chapman, Piyush Mehrotra, John Van Rose...
NIPS
2007
13 years 9 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
BIOSYSTEMS
2007
123views more  BIOSYSTEMS 2007»
13 years 7 months ago
Real time computation: Zooming in on population codes
Information processing in nervous systems intricately combines computation at the neuronal and network levels. Many computations may be envisioned as sequences of signal processin...
Olivier Rochel, Netta Cohen
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
14 years 1 months ago
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems
The vast majority of visualization tools introduced so far are specialized pieces of software that are explicitly run on a particular dataset at a particular time for a particular...
Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lona...
UPP
2004
Springer
14 years 24 days ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes