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» Performance optimization under rise and fall parameters
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NIPS
2007
13 years 11 months ago
Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
NIPS
1990
13 years 11 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
TON
2010
147views more  TON 2010»
13 years 8 months ago
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
Tao Shu, Marwan Krunz
IOR
2010
128views more  IOR 2010»
13 years 7 months ago
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...
INFOCOM
2009
IEEE
14 years 4 months ago
On Fast Optimal STDMA Scheduling over Fading Wireless Channels
—Most prior studies on wireless spatial-reuse TDMA (STDMA) link scheduling for throughput optimization deal with the situation where instantaneous channel state information (CSI)...
JiaLiang Zhang, Soung Chang Liew, Liqun Fu