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    ICSM
    2009
    IEEE
    115views Software Engineering» more  ICSM 2009»
    Modeling class cohesion as mixtures of latent topics
    14 years 3 months ago
    Modeling class cohesion as mixtures of latent topics
    Download  www.cs.wm.edu
    The paper proposes a new measure for the cohesion of classes in Object-Oriented software systems. It is based on the analysis of latent topics embedded in comments and identifiers...
    Yixun Liu, Denys Poshyvanyk, Rudolf Ferenc, Tibor ...
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    NIPS
    2008
    166views Information Technology» more  NIPS 2008»
    Asynchronous Distributed Learning of Topic Models
    13 years 10 months ago
    Asynchronous Distributed Learning of Topic Models
    Download  www.datalab.uci.edu
    Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
    Arthur Asuncion, Padhraic Smyth, Max Welling
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    KDD
    2009
    ACM
    219views Data Mining» more  KDD 2009»
    Structured correspondence topic models for mining captioned figures in biological literature
    14 years 9 months ago
    Structured correspondence topic models for mining captioned figures in biological literature
    Download  www.cs.cmu.edu
    A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
    Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
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    COLING
    2008
    110views Computational Linguistics» more  COLING 2008»
    Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
    13 years 10 months ago
    Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
    Download  www.cs.huji.ac.il
    We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
    Roi Reichart, Ari Rappoport
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    NAACL
    1994
    78views Computational Linguistics» more  NAACL 1994»
    Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
    13 years 10 months ago
    Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
    Download  www.cedar.buffalo.edu
    The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be initial...
    Rohini K. Srihari
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