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    SDM
    2010
    SIAM
    204views Data Mining» more  SDM 2010»
    Scalable Tensor Factorizations with Missing Data
    13 years 10 months ago
    Scalable Tensor Factorizations with Missing Data
    Download  csmr.ca.sandia.gov
    The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
    Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
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    SDM
    2010
    SIAM
    144views Data Mining» more  SDM 2010»
    Predictive Modeling with Heterogeneous Sources
    13 years 10 months ago
    Predictive Modeling with Heterogeneous Sources
    Download  www.cs.uic.edu
    Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
    Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
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    SDM
    2010
    SIAM
    166views Data Mining» more  SDM 2010»
    A Permutation Approach to Validation
    13 years 10 months ago
    A Permutation Approach to Validation
    Download  www.cs.rpi.edu
    We give a permutation approach to validation (estimation of out-sample error). One typical use of validation is model selection. We establish the legitimacy of the proposed permut...
    Malik Magdon-Ismail, Konstantin Mertsalov
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    SDM
    2010
    SIAM
    153views Data Mining» more  SDM 2010»
    The Generalized Dimensionality Reduction Problem
    13 years 10 months ago
    The Generalized Dimensionality Reduction Problem
    Download  www.charuaggarwal.net
    The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
    Charu C. Aggarwal
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    SDM
    2010
    SIAM
    165views Data Mining» more  SDM 2010»
    Direct Density Ratio Estimation with Dimensionality Reduction
    13 years 10 months ago
    Direct Density Ratio Estimation with Dimensionality Reduction
    Download  sugiyama-www.cs.titech.ac.jp
    Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
    Masashi Sugiyama, Satoshi Hara, Paul von Büna...
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    SDM
    2010
    SIAM
    218views Data Mining» more  SDM 2010»
    Confidence-Based Feature Acquisition to Minimize Training and Test Costs
    13 years 10 months ago
    Confidence-Based Feature Acquisition to Minimize Training and Test Costs
    Download  maple.cs.umbc.edu
    We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
    Marie desJardins, James MacGlashan, Kiri L. Wagsta...
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    SDM
    2010
    SIAM
    181views Data Mining» more  SDM 2010»
    Making k-means Even Faster
    13 years 10 months ago
    Making k-means Even Faster
    Download  cs.baylor.edu
    The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
    Greg Hamerly
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    SDM
    2010
    SIAM
    146views Data Mining» more  SDM 2010»
    Evaluating Query Result Significance in Databases via Randomizations
    13 years 10 months ago
    Evaluating Query Result Significance in Databases via Randomizations
    Download  eprints.pascal-network.org
    Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
    Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
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    SDM
    2010
    SIAM
    149views Data Mining» more  SDM 2010»
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    13 years 10 months ago
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    Download  www.cs.cmu.edu
    Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
    Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
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    SDM
    2010
    SIAM
    195views Data Mining» more  SDM 2010»
    Adaptive Informative Sampling for Active Learning
    13 years 10 months ago
    Adaptive Informative Sampling for Active Learning
    Download  www.cems.uvm.edu
    Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
    Zhenyu Lu, Xindong Wu, Josh Bongard
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