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» On the Computational Power of Neural Nets
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NIPS
2008
14 years 11 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht
EUSFLAT
2001
125views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Computational intelligence approaches for parametric estimation and feature extraction of power spectral density
This paper reports an early progress of a feasibility study of a computational intelligence approach to the enhancement of the accuracy of flow measurements in the framework of a ...
Da Ruan, Davide Roverso, Paolo F. Fantoni
BMCBI
2006
109views more  BMCBI 2006»
14 years 9 months ago
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
Alison A. Motsinger, Stephen L. Lee, George Mellic...
DAC
2005
ACM
15 years 10 months ago
Power-aware placement
Lowering power is one of the greatest challenges facing the IC industry today. We present a power-aware placement method that simultaneously performs (1) activity-based register c...
Yongseok Cheon, Pei-Hsin Ho, Andrew B. Kahng, Sher...
ANNPR
2006
Springer
14 years 11 months ago
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...