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    RIAO
    2000
    121views Information Technology» more  RIAO 2000»
    SgmlQL + XGQL = Powerful XML Pattern-Matching and Data-Manipulation in a Single Language
    13 years 11 months ago
    SgmlQL + XGQL = Powerful XML Pattern-Matching and Data-Manipulation in a Single Language
    Download  lemaitre.univ-tln.fr
    The presence of XML in many recent hypermedia management tools and methods (W3I3, SMIL, etc.) shows better than ever that both structural and textual criteria will continue to pla...
    Jacques Le Maitre, Yves Marcoux, Elisabeth Murisas...
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    WCE
    2007
    228views Electrical And Computer Engi...» more  WCE 2007»
    Comparing Risk Neutral Density Estimation Methods using Simulated Option Data
    13 years 11 months ago
    Comparing Risk Neutral Density Estimation Methods using Simulated Option Data
    Download  www.iaeng.org
    Abstract—In this paper I use Monte Carlo simulated option data to investigate the empirical power of six Risk Neutral Density (RND) estimation techniques. Three alternative appro...
    Amine Bouden
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    ACL
    2008
    112views Computational Linguistics» more  ACL 2008»
    Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation
    13 years 11 months ago
    Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation
    Download  aclweb.org
    Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user fe...
    François Mairesse, Marilyn A. Walker
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    KDD
    1997
    ACM
    135views Data Mining» more  KDD 1997»
    Brute-Force Mining of High-Confidence Classification Rules
    14 years 2 months ago
    Brute-Force Mining of High-Confidence Classification Rules
    Download  reference.kfupm.edu.sa
    This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
    Roberto J. Bayardo Jr.
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    CVPR
    2012
    IEEE
    233views Computer Vision» more  CVPR 2012»
    Enhanced continuous sign language recognition using PCA and neural network features
    12 years 9 days ago
    Enhanced continuous sign language recognition using PCA and neural network features
    Download  www-i6.informatik.rwth-aachen.de
    In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
    Yannick L. Gweth, Christian Plahl, Hermann Ney
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