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    EUSFLAT
    2001
    172views Fuzzy Logic» more  EUSFLAT 2001»
    Introduction of fuzzy logic in the hidden markov models
    15 years 7 months ago
    Introduction of fuzzy logic in the hidden markov models
    Download  www.eusflat.org
    M. Kelarestaghi, Mohamed Slimane, Nicole Vincent
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    PSB
    2003
    112views Applied Computing» more  PSB 2003»
    Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models
    15 years 7 months ago
    Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models
    Download  helix-web.stanford.edu
    Kristian Kersting, Tapani Raiko, Stefan Kramer, Lu...
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    ICASSP
    2008
    IEEE
    177views Signal Processing» more  ICASSP 2008»
    Accurate statistical spoken language understanding from limited development resources
    16 years 18 days ago
    Accurate statistical spoken language understanding from limited development resources
    Download  alchemy.cs.washington.edu
    Robust Spoken Language Understanding (SLU) is a key component of spoken dialogue systems. Recent statistical approaches to this problem require additional resources (e.g. gazettee...
    I. V. Meza-Ruiz, Sebastian Riedel, Oliver Lemon
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    AIRS
    2010
    Springer
    303views Information Technology» more  AIRS 2010»
    Top-Down and Bottom-Up: A Combined Approach to Slot Filling
    15 years 4 months ago
    Top-Down and Bottom-Up: A Combined Approach to Slot Filling
    Download  nlp.cs.qc.cuny.edu
    The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
    Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
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    ECCV
    2010
    Springer
    304views Computer Vision» more  ECCV 2010»
    Learning What and How of Contextual Models for Scene Labeling
    15 years 11 months ago
    Learning What and How of Contextual Models for Scene Labeling
    Download  www.umiacs.umd.edu
    We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
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