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    ML
    2012
    ACM
    388views Machine Learning» more  ML 2012»
    Statistical analysis of kernel-based least-squares density-ratio estimation
    12 years 3 months ago
    Statistical analysis of kernel-based least-squares density-ratio estimation
    Download  sugiyama-www.cs.titech.ac.jp
    The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
    Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
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    DASFAA
    2008
    IEEE
    149views Database» more  DASFAA 2008»
    A Test Paradigm for Detecting Changes in Transactional Data Streams
    13 years 8 months ago
    A Test Paradigm for Detecting Changes in Transactional Data Streams
    Download  making.csie.ndhu.edu.tw
    A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
    Willie Ng, Manoranjan Dash
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    IJCAI
    1989
    146views Artificial Intelligence» more  IJCAI 1989»
    An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
    13 years 8 months ago
    An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
    Download  dli.iiit.ac.in
    Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
    Sholom M. Weiss, Ioannis Kapouleas
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    ICTAC
    2009
    Springer
    136views Applied Computing» more  ICTAC 2009»
    Integration Testing from Structured First-Order Specifications via Deduction Modulo
    13 years 5 months ago
    Integration Testing from Structured First-Order Specifications via Deduction Modulo
    Download  www.lri.fr
    Testing from first-order specifications has mainly been studied for flat specifications, that are specifications of a single software module. However, the specifications of large s...
    Delphine Longuet, Marc Aiguier
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    DICTA
    2003
    236views Applied Computing» more  DICTA 2003»
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    13 years 9 months ago
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    Download  www.aprs.org.au
    ：Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
    Ying Ming, Jingjue Jiang, Jun Ming
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