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» Introduction to Monte Carlo simulation
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ICSNC
2007
IEEE
14 years 5 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh
CSDA
2006
169views more  CSDA 2006»
13 years 11 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
JIRS
2010
153views more  JIRS 2010»
13 years 9 months ago
Active Visual Perception for Mobile Robot Localization
Abstract Localization is a key issue for a mobile robot, in particular in environments where a globally accurate positioning system, such as GPS, is not available. In these environ...
Javier Correa, Alvaro Soto
GLVLSI
2009
IEEE
143views VLSI» more  GLVLSI 2009»
14 years 2 months ago
Unified P4 (power-performance-process-parasitic) fast optimization of a Nano-CMOS VCO
In this paper, we present the design of a P4 (Power-PerformanceProcess-Parasitic) aware voltage controlled oscillator (VCO) at nanoCMOS technologies. Through simulations, we have ...
Dhruva Ghai, Saraju P. Mohanty, Elias Kougianos
DAC
1998
ACM
14 years 12 months ago
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...
Qinru Qiu, Qing Wu, Massoud Pedram