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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 11 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
ISBMS
2010
Springer
14 years 8 days ago
LASTIC: A Light Aspiration Device for in vivo Soft TIssue Characterization
This paper introduces a new Light Aspiration device for in vivo Soft TIssue Characterization (LASTIC). This device is designed to be used during surgery, and can undergo sterilizat...
Patrick Schiavone, Emmanuel Promayon, Yohan Payan
ICA
2004
Springer
14 years 27 days ago
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...
Shahram Hosseini, Yannick Deville
ICMLA
2008
13 years 9 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ISBI
2006
IEEE
14 years 8 months ago
Linearly constrained MEG beamformers for MVAR modeling of cortical interactions
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Hua Brian Hui, Richard M. Leahy