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    ICMLA
    2007
    192views Machine Learning» more  ICMLA 2007»
    Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
    14 years 8 days ago
    Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
    Download  people.csail.mit.edu
    We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
    Rómer Rosales, Praveen Krishnamurthy, R. Bh...
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    ICMLA
    2007
    118views Machine Learning» more  ICMLA 2007»
    Soft Failure Detection Using Factorial Hidden Markov Models
    14 years 8 days ago
    Soft Failure Detection Using Factorial Hidden Markov Models
    Download  eprints.pascal-network.org
    In modern business, educational, and other settings, it is common to provide a digital network that interconnects hardware devices for shared access by the users (e.g., in an ofï¬...
    Guillaume Bouchard, Jean-Marc Andreoli
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    ICMLA
    2007
    104views Machine Learning» more  ICMLA 2007»
    Scalable optimal linear representation for face and object recognition
    14 years 8 days ago
    Scalable optimal linear representation for face and object recognition
    Download  ww2.cs.fsu.edu
    Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
    Yiming Wu, Xiuwen Liu, Washington Mio
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    ICMLA
    2007
    95views Machine Learning» more  ICMLA 2007»
    SVMotif: A Machine Learning Motif Algorithm
    14 years 8 days ago
    SVMotif: A Machine Learning Motif Algorithm
    Download  math.bu.edu
    We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
    Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
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    ICMLA
    2007
    86views Machine Learning» more  ICMLA 2007»
    Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
    14 years 8 days ago
    Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
    Download  isda.ncsa.uiuc.edu
    — This paper addresses the problem of understanding preservation and reconstruction requirements for computeraided medical decision-making. With an increasing number of computer-...
    Sang-Chul Lee, Peter Bajcsy
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