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    » The Inefficiency of Batch Training for Large Training Sets
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    KDID
    2004
    481views Database» more  KDID 2004»
    Models and Indices for Integrating Unstructured Data with a Relational Database
    13 years 10 months ago
    Models and Indices for Integrating Unstructured Data with a Relational Database
    Download  www.it.iitb.ac.in
    Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
    Sunita Sarawagi
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    NAACL
    2004
    75views Computational Linguistics» more  NAACL 2004»
    The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
    13 years 10 months ago
    The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
    Download  homepages.inf.ed.ac.uk
    Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
    Mirella Lapata, Frank Keller
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    NIPS
    2004
    143views Information Technology» more  NIPS 2004»
    Common-Frame Model for Object Recognition
    13 years 10 months ago
    Common-Frame Model for Object Recognition
    Download  books.nips.cc
    A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
    Pierre Moreels, Pietro Perona
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    ICMLA
    2003
    123views Machine Learning» more  ICMLA 2003»
    The Consolidation of Neural Network Task Knowledge
    13 years 10 months ago
    The Consolidation of Neural Network Task Knowledge
    Download  plato.acadiau.ca
    — Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
    Daniel L. Silver, Peter McCracken
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    COLING
    1990
    68views Computational Linguistics» more  COLING 1990»
    A Spelling Correction Program Based on a Noisy Channel Model
    13 years 10 months ago
    A Spelling Correction Program Based on a Noisy Channel Model
    Download  www.d.umn.edu
    This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
    Mark D. Kernighan, Kenneth Ward Church, William A....
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