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    » Streaming with causality: a practical approach
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    EDBT
    2008
    ACM
    171views Database» more  EDBT 2008»
    Replay-based approaches to revision processing in stream query engines
    14 years 5 months ago
    Replay-based approaches to revision processing in stream query engines
    Download  www.cs.brandeis.edu
    Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
    Anurag Maskey, Mitch Cherniack
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    UAI
    1993
    88views Artificial Intelligence» more  UAI 1993»
    Using Causal Information and Local Measures to Learn Bayesian Networks
    13 years 6 months ago
    Using Causal Information and Local Measures to Learn Bayesian Networks
    Download  www.cs.toronto.edu
    In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
    Wai Lam, Fahiem Bacchus
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    SAS
    2009
    Springer
    212views Formal Methods» more  SAS 2009»
    The Causal Graph Revisited for Directed Model Checking
    14 years 5 months ago
    The Causal Graph Revisited for Directed Model Checking
    Download  www.informatik.uni-freiburg.de
    Directed model checking is a well-established technique to tackle the state explosion problem when the aim is to find error states in large systems. In this approach, the state spa...
    Martin Wehrle, Malte Helmert
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    ISCI
    2008
    137views more  ISCI 2008»
    Inference of differential equation models by genetic programming
    13 years 5 months ago
    Inference of differential equation models by genetic programming
    Download  www.cs.bham.ac.uk
    This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
    Hitoshi Iba
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    JMLR
    2006
    113views more  JMLR 2006»
    Learning the Structure of Linear Latent Variable Models
    13 years 5 months ago
    Learning the Structure of Linear Latent Variable Models
    Download  www.hss.cmu.edu
    We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
    Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
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