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» Newton's method and its use in optimization
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TPDS
2008
163views more  TPDS 2008»
13 years 7 months ago
Managing the Mobility of a Mobile Sensor Network Using Network Dynamics
It has been discussed in the literature that the mobility of a mobile sensor network (MSN) can be used to improve its sensing coverage. How the mobility can efficiently be managed ...
Ke Ma, Yanyong Zhang, Wade Trappe
HAPTICS
2002
IEEE
14 years 14 days ago
Optimal Design Method for Selective Nerve Stimulation and Its Application to Electrocutaneous Display
We have developed a tactile display that uses electric current from the skin surface as a stimulus. Our main objective was to independently stimulate a variety of mechanoreceptors...
Hiroyuki Kajimoto, Naoki Kawakami, Susumu Tachi
JCNS
2010
103views more  JCNS 2010»
13 years 2 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
JMLR
2012
11 years 10 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ICASSP
2011
IEEE
12 years 11 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...