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    NA
    2010
    118views more  NA 2010»
    Practical Quasi-Newton algorithms for singular nonlinear systems
    13 years 9 months ago
    Practical Quasi-Newton algorithms for singular nonlinear systems
    Download  sites.dmi.rs
    Quasi-Newton methods for solving singular systems of nonlinear equations are considered in this paper. Singular roots cause a number of problems in implementation of iterative met...
    Sandra Buhmiler, Natasa Krejic, Zorana Luzanin
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    TSP
    2008
    91views more  TSP 2008»
    Nonlinear and Nonideal Sampling: Theory and Methods
    13 years 11 months ago
    Nonlinear and Nonideal Sampling: Theory and Methods
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    We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
    Tsvi G. Dvorkind, Yonina C. Eldar, Ewa Matusiak
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    OL
    2007
    156views more  OL 2007»
    A trust region SQP algorithm for mixed-integer nonlinear programming
    13 years 10 months ago
    A trust region SQP algorithm for mixed-integer nonlinear programming
    Download  www.math.uni-bayreuth.de
    We propose a modified sequential quadratic programming (SQP) method for solving mixed-integer nonlinear programming problems. Under the assumption that integer variables have a s...
    Oliver Exler, Klaus Schittkowski
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    AAAI
    2011
    246views Intelligent Agents» more  AAAI 2011»
    An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
    12 years 11 months ago
    An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
    Download  www.cs.cmu.edu
    Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
    Byron Boots, Geoffrey J. Gordon
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    PR
    2008
    129views more  PR 2008»
    A comparison of generalized linear discriminant analysis algorithms
    13 years 11 months ago
    A comparison of generalized linear discriminant analysis algorithms
    Download  www.cc.gatech.edu
    7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
    Cheong Hee Park, Haesun Park
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