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    IJCAI
    2007
    221views Artificial Intelligence» more  IJCAI 2007»
    Graph-Based Semi-Supervised Learning as a Generative Model
    13 years 6 months ago
    Graph-Based Semi-Supervised Learning as a Generative Model
    Download  ijcai.org
    This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
    Jingrui He, Jaime G. Carbonell, Yan Liu 0002
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    TIT
    2008
    224views more  TIT 2008»
    Graph-Based Semi-Supervised Learning and Spectral Kernel Design
    13 years 5 months ago
    Graph-Based Semi-Supervised Learning and Spectral Kernel Design
    Download  www.stat.rutgers.edu
    We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
    Rie Johnson, Tong Zhang
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    EMNLP
    2010
    214views Natural Language Processing» more  EMNLP 2010»
    Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
    13 years 3 months ago
    Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
    Download  www.petrovi.de
    We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
    Amarnag Subramanya, Slav Petrov, Fernando Pereira
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    NIPS
    2004
    292views Information Technology» more  NIPS 2004»
    Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
    13 years 6 months ago
    Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
    Download  www.cs.cmu.edu
    We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
    Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
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    ACL
    2009
    180views Computational Linguistics» more  ACL 2009»
    A Graph-based Semi-Supervised Learning for Question-Answering
    13 years 3 months ago
    A Graph-based Semi-Supervised Learning for Question-Answering
    Download  www.aclweb.org
    We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
    Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
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