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IWINAC
2007
Springer
16 years 1 months ago
Morphisms of ANN and the Computation of Least Fixed Points of Semantic Operators
We consider a notion of morphism of neural networks and develop its properties. We show how, given any definite logic program P, the least fixed point of the immediate consequenc...
Anthony Karel Seda
ICANN
2009
Springer
15 years 11 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ICPPW
2005
IEEE
16 years 15 days ago
Performance Prophet: A Performance Modeling and Prediction Tool for Parallel and Distributed Programs
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...
Sabri Pllana, Thomas Fahringer
CGF
2007
135views more  CGF 2007»
15 years 6 months ago
Prediction of Individual Non-Linear Aging Trajectories of Faces
Represented in a Morphable Model, 3D faces follow curved trajectories in face space as they age. We present a novel algorithm that computes the individual aging trajectories for g...
Kristina Scherbaum, Martin Sunkel, Hans-Peter Seid...
HIPC
2009
Springer
15 years 4 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...