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» Estimation of general nonlinear state-space systems
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CVPR
2007
IEEE
15 years 26 days ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICC
2008
IEEE
115views Communications» more  ICC 2008»
14 years 5 months ago
On the Performance of Linear Least-Squares Estimation in Wireless Positioning Systems
A common technique for wireless positioning is to estimate time-of-arrivals (TOAs) of signals traveling between a target node and a number of reference nodes, and then to determin...
Sinan Gezici, Ismail Güvenç, Zafer Sah...
AUTOMATICA
2008
93views more  AUTOMATICA 2008»
13 years 11 months ago
An LFT approach to parameter estimation
In this paper we consider a unified framework for parameter estimation problems which arise in a system identification context. In this framework, the parameters to be estimated a...
Kenneth Hsu, Tyrone L. Vincent, Greg Wolodkin, Sun...
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
14 years 2 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 3 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...