640 search results - page 88 / 128 » Extracting Propositions from Trained Neural Networks |
FAST
2010
15 years 4 days ago
2010
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Our paper presents a fully automated computational mechanism for targeting a space-variant retina based on the highlevel visual content of a scene. Our retina’s receptive fie...
CLUSTER
2007
IEEE
15 years 1 months ago
2007
IEEE
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
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IJON
2006
14 years 9 months ago
2006
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...