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    ICMLA
    2007
    105views Machine Learning» more  ICMLA 2007»
    Learning bayesian networks consistent with the optimal branching
    15 years 6 months ago
    Learning bayesian networks consistent with the optimal branching
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    We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
    Alexandra M. Carvalho, Arlindo L. Oliveira
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    122
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    ACL
    2006
    111views Computational Linguistics» more  ACL 2006»
    Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
    15 years 6 months ago
    Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
    Download  acl.ldc.upenn.edu
    Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
    Grzegorz Chrupala, Josef van Genabith
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    ACL
    2003
    83views Computational Linguistics» more  ACL 2003»
    Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
    15 years 6 months ago
    Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
    Download  acl.ldc.upenn.edu
    We train a decision tree inducer (CART) and a memory-based classifier (MBL) on predicting prosodic pitch accents and breaks in Dutch text, on the basis of shallow, easy-to-comput...
    Erwin Marsi, Martin Reynaert, Antal van den Bosch,...
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    144
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    CVPR
    2011
    IEEE
    314views Computer Vision» more  CVPR 2011»
    Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
    15 years 25 days ago
    Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
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    We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
    Zhiding Yu, Oscar Au, Ketan Tang
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    150
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    ACL
    1998
    128views Computational Linguistics» more  ACL 1998»
    A Connectionist Architecture for Learning to Parse
    15 years 6 months ago
    A Connectionist Architecture for Learning to Parse
    Download  www.aclweb.org
    We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
    James Henderson, Peter Lane
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