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    ECCV
    2006
    Springer
    330views Computer Vision» more  ECCV 2006»
    Learning Semantic Scene Models by Trajectory Analysis
    13 years 11 months ago
    Learning Semantic Scene Models by Trajectory Analysis
    Download  people.csail.mit.edu
    Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
    Xiaogang Wang, Kinh Tieu, Eric Grimson
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    ECML
    2006
    Springer
    115views Machine Learning» more  ECML 2006»
    Learning Process Models with Missing Data
    13 years 11 months ago
    Learning Process Models with Missing Data
    Download  cll.stanford.edu
    Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
    Will Bridewell, Pat Langley, Steve Racunas, Stuart...
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    ARTMED
    1999
    92views more  ARTMED 1999»
    Two-Stage Machine Learning model for guideline development
    13 years 7 months ago
    Two-Stage Machine Learning model for guideline development
    Download  www.ics.uci.edu
    We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
    Subramani Mani, William Rodman Shankle, Malcolm B....
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    RECOMB
    2004
    Springer
    166views Computational Biology» more  RECOMB 2004»
    Learning Regulatory Network Models that Represent Regulator States and Roles
    14 years 7 months ago
    Learning Regulatory Network Models that Represent Regulator States and Roles
    Download  pages.cs.wisc.edu
    Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
    Keith Noto, Mark Craven
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    IDA
    2003
    Springer
    119views Information Technology» more  IDA 2003»
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    14 years 23 days ago
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    Download  people.brunel.ac.uk
    Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
    Allan Tucker, Xiaohui Liu
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