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    NIPS
    2004
    133views Information Technology» more  NIPS 2004»
    On Semi-Supervised Classification
    13 years 8 months ago
    On Semi-Supervised Classification
    Download  books.nips.cc
    A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
    Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
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    ASUNAM
    2010
    IEEE
    203views Social Networks» more  ASUNAM 2010»
    Semi-Supervised Classification of Network Data Using Very Few Labels
    13 years 9 months ago
    Semi-Supervised Classification of Network Data Using Very Few Labels
    Download  www.cs.cmu.edu
    The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
    Frank Lin, William W. Cohen
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    EMNLP
    2009
    141views Natural Language Processing» more  EMNLP 2009»
    Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
    13 years 5 months ago
    Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy
    Download  www.aclweb.org
    This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
    Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
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    CVPR
    2006
    IEEE
    284views Computer Vision» more  CVPR 2006»
    Semi-Supervised Classification Using Linear Neighborhood Propagation
    14 years 9 months ago
    Semi-Supervised Classification Using Linear Neighborhood Propagation
    Download  feiwang03.googlepages.com
    We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
    Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
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    SDM
    2009
    SIAM
    107views Data Mining» more  SDM 2009»
    A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
    14 years 4 months ago
    A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
    Download  www.siam.org
    Bo Chen, Ivor Tsang, Tak-Lam Wong, Wai Lam
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