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    » Convergence analysis of online algorithms
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    NIPS
    2001
    125views Information Technology» more  NIPS 2001»
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
    13 years 6 months ago
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
    Download  www.jair.org
    The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
    Roni Khardon, Dan Roth, Rocco A. Servedio
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    NIPS
    2008
    105views Information Technology» more  NIPS 2008»
    Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
    13 years 6 months ago
    Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
    Download  www.cc.gatech.edu
    We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
    Andrew Smith, Xiaoming Huo, Hongyuan Zha
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    FOCM
    2008
    140views more  FOCM 2008»
    Online Gradient Descent Learning Algorithms
    13 years 5 months ago
    Online Gradient Descent Learning Algorithms
    Download  www.cs.ucl.ac.uk
    This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
    Yiming Ying, Massimiliano Pontil
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    PAA
    2008
    178views Distributed And Parallel Com...» more  PAA 2008»
    Online nonparametric discriminant analysis for incremental subspace learning and recognition
    13 years 5 months ago
    Online nonparametric discriminant analysis for incremental subspace learning and recognition
    Download  www.cvc.uab.es
    This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
    Bogdan Raducanu, Jordi Vitrià
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    JMLR
    2006
    131views more  JMLR 2006»
    Incremental Support Vector Learning: Analysis, Implementation and Applications
    13 years 5 months ago
    Incremental Support Vector Learning: Analysis, Implementation and Applications
    Download  jmlr.csail.mit.edu
    Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
    Pavel Laskov, Christian Gehl, Stefan Krüger, ...
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