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PE
2006
Springer
109views Optimization» more  PE 2006»
13 years 8 months ago
A customer threshold property for closed finite queueing networks
-- We present a new class of finite queues in cyclic networks with production blocking. We show that with a threshold property related to the number of customers in the network, th...
Mustafa Yuzukirmizi, J. MacGregor Smith
SIGMOD
2006
ACM
171views Database» more  SIGMOD 2006»
14 years 8 months ago
Communication-efficient distributed monitoring of thresholded counts
Monitoring is an issue of primary concern in current and next generation networked systems. For example, the objective of sensor networks is to monitor their surroundings for a va...
Ram Keralapura, Graham Cormode, Jeyashankher Ramam...

Tutorial
3234views
14 years 4 months ago
Nguyen-Widrow and other Neural Network Weight/Threshold Initialization Methods
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
Jeff Heaton
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
14 years 3 months ago
Improved Approximation of Linear Threshold Functions
We prove two main results on how arbitrary linear threshold functions f(x) = sign(w · x − θ) over the n-dimensional Boolean hypercube can be approximated by simple threshold f...
Ilias Diakonikolas, Rocco A. Servedio
IJCNN
2007
IEEE
14 years 2 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...