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    IM
    2007
    82views Computer Networks» more  IM 2007»
    Issues in Designing a Policy Language for Distributed Management of IT Infrastructures
    13 years 11 months ago
    Issues in Designing a Policy Language for Distributed Management of IT Infrastructures
    Download  domino.research.ibm.com
    — The objectives of this paper are twofold. First, we introduce a novel policy language, called CIM-SPL (Simple Policy Language for CIM) that complies with the CIM (Common Inform...
    Dakshi Agrawal, Seraphin B. Calo, Kang-Won Lee, Jo...
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    NIPS
    2008
    230views Information Technology» more  NIPS 2008»
    Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
    13 years 11 months ago
    Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
    Download  engineering.purdue.edu
    Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
    Guangzhi Cao, Charles A. Bouman
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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    13 years 11 months ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Roughly Balanced Bagging for Imbalanced Data
    13 years 11 months ago
    Roughly Balanced Bagging for Imbalanced Data
    Download  siam.org
    Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
    Shohei Hido, Hisashi Kashima
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    SDM
    2008
    SIAM
    133views Data Mining» more  SDM 2008»
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    13 years 11 months ago
    Semantic Smoothing for Bayesian Text Classification with Small Training Data
    Download  www.cis.drexel.edu
    Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
    Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
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