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    ICMLA
    2007
    105views Machine Learning» more  ICMLA 2007»
    Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems
    13 years 10 months ago
    Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems
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    Michael Davy, Saturnino Luz
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    ICMLA
    2007
    118views Machine Learning» more  ICMLA 2007»
    Soft Failure Detection Using Factorial Hidden Markov Models
    13 years 10 months ago
    Soft Failure Detection Using Factorial Hidden Markov Models
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    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
    192views Machine Learning» more  ICMLA 2007»
    Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
    13 years 10 months ago
    Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
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    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
    80views Machine Learning» more  ICMLA 2007»
    Memory-based context-sensitive spelling correction at web scale
    13 years 10 months ago
    Memory-based context-sensitive spelling correction at web scale
    Download  www.cs.cmu.edu
    We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...
    Andrew Carlson, Ian Fette
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    ICMLA
    2007
    86views Machine Learning» more  ICMLA 2007»
    Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
    13 years 10 months 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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    ICMLA
    2007
    109views Machine Learning» more  ICMLA 2007»
    A Clustering-Based Approach to Predict Outcome in Cancer Patients
    13 years 10 months ago
    A Clustering-Based Approach to Predict Outcome in Cancer Patients
    Download  www.ibe.gwu.edu
    Abstract—The TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients. However, the TNM is not accurate in prediction, pa...
    Kai Xing, Donald Henson, Dechang Chen, Li Sheng
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    ICMLA
    2007
    218views Machine Learning» more  ICMLA 2007»
    Estimating class probabilities in random forests
    13 years 10 months ago
    Estimating class probabilities in random forests
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    For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
    Henrik Boström
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    ICMLA
    2007
    116views Machine Learning» more  ICMLA 2007»
    Automatic medical coding of patient records via weighted ridge regression
    13 years 10 months ago
    Automatic medical coding of patient records via weighted ridge regression
    Download  www.cs.rpi.edu
    In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
    Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita...
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    ICMLA
    2007
    194views Machine Learning» more  ICMLA 2007»
    Improving gene expression programming performance by using differential evolution
    13 years 10 months ago
    Improving gene expression programming performance by using differential evolution
    Download  www.cs.uic.edu
    Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of ï¬xed length used in Genetic Algorithms (GAs) and...
    Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
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    ICMLA
    2007
    149views Machine Learning» more  ICMLA 2007»
    Uncertainty optimization for robust dynamic optical flow estimation
    13 years 10 months ago
    Uncertainty optimization for robust dynamic optical flow estimation
    Download  eprints.pascal-network.org
    We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
    Volker Willert, Marc Toussaint, Julian Eggert, Edg...
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