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    ESANN
    2007
    106views Neural Networks» more  ESANN 2007»
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    13 years 11 months ago
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    Download  www.dice.ucl.ac.be
    Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) b...
    Jan-Hendrik Schleimer, Ricardo Vigário
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    EDM
    2008
    97views Data Mining» more  EDM 2008»
    Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
    13 years 11 months ago
    Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
    Download  server-1.optim.cs.cmu.edu
    Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
    Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
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    ICWSM
    2008
    203views Internet Technology» more  ICWSM 2008»
    StoryUpgrade: Finding Stories in Internet Weblogs
    13 years 11 months ago
    StoryUpgrade: Finding Stories in Internet Weblogs
    Download  www.reidswanson.com
    The phenomenal rise of Internet weblogging has created new opportunities for people to tell personal stories of their life experience, and the potential to share these stories wit...
    Andrew S. Gordon, Reid Swanson
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    ACL
    2006
    146views Computational Linguistics» more  ACL 2006»
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    13 years 11 months ago
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    Download  acl.ldc.upenn.edu
    This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
    Vijay Krishnan, Christopher D. Manning
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    ESANN
    2004
    169views Neural Networks» more  ESANN 2004»
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    13 years 11 months ago
    Sparse LS-SVMs using additive regularization with a penalized validation criterion
    Download  www.dice.ucl.ac.be
    This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
    Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
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