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    FLAIRS
    2006
    143views Artificial Intelligence» more  FLAIRS 2006»
    A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
    13 years 9 months ago
    A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
    Download  www.aaai.org
    In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
    Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
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    AAAI
    2000
    109views Intelligent Agents» more  AAAI 2000»
    Information Extraction with HMM Structures Learned by Stochastic Optimization
    13 years 9 months ago
    Information Extraction with HMM Structures Learned by Stochastic Optimization
    Download  www.cs.utah.edu
    Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
    Dayne Freitag, Andrew McCallum
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    UAI
    1997
    113views Artificial Intelligence» more  UAI 1997»
    Structure and Parameter Learning for Causal Independence and Causal Interaction Models
    13 years 9 months ago
    Structure and Parameter Learning for Causal Independence and Causal Interaction Models
    Download  research.microsoft.com
    We begin by discussing causal independence models and generalize these models to causal interaction models. Causal interaction models are models that have independent mechanisms w...
    Christopher Meek, David Heckerman
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    ICML
    1995
    IEEE
    123views Machine Learning» more  ICML 1995»
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    14 years 9 months ago
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    Download  www.cs.utexas.edu
    Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
    Justine Blackmore, Risto Miikkulainen
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    CVPR
    2007
    IEEE
    135views Computer Vision» more  CVPR 2007»
    Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
    14 years 10 months ago
    Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
    Download  www.cs.rpi.edu
    We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
    Jinbo Bi, Jianming Liang
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