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    ACL
    2012
    219views Computational Linguistics» more  ACL 2012»
    A Nonparametric Bayesian Approach to Acoustic Model Discovery
    11 years 10 months ago
    A Nonparametric Bayesian Approach to Acoustic Model Discovery
    Download  aclweb.org
    We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...
    Chia-ying Lee, James R. Glass
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    SDM
    2007
    SIAM
    137views Data Mining» more  SDM 2007»
    Semi-supervised Feature Selection via Spectral Analysis
    13 years 9 months ago
    Semi-supervised Feature Selection via Spectral Analysis
    Download  www.public.asu.edu
    Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
    Zheng Zhao, Huan Liu
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    INFOSCALE
    2007
    ACM
    197views Information Technology» more  INFOSCALE 2007»
    Citation data clustering for author name disambiguation
    13 years 9 months ago
    Citation data clustering for author name disambiguation
    Download  www.cis.nagasaki-u.ac.jp
    In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
    Tomonari Masada, Atsuhiro Takasu, Jun Adachi
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    APBC
    2004
    138views Bioinformatics» more  APBC 2004»
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    13 years 9 months ago
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    Download  crpit.com
    Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
    See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
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    ACL
    2006
    204views Computational Linguistics» more  ACL 2006»
    Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
    13 years 9 months ago
    Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
    Download  ir.hit.edu.cn
    This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
    Hua Wu, Haifeng Wang, Zhan-yi Liu
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