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    NA
    2010
    118views more  NA 2010»
    Practical Quasi-Newton algorithms for singular nonlinear systems
    13 years 3 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 4 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 4 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 4 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 4 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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