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    SDM
    2008
    SIAM
    144views Data Mining» more  SDM 2008»
    Active Learning with Model Selection in Linear Regression
    13 years 9 months ago
    Active Learning with Model Selection in Linear Regression
    Download  hrstc.org
    Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
    Masashi Sugiyama, Neil Rubens
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    COLING
    2010
    146views Computational Linguistics» more  COLING 2010»
    The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
    13 years 2 months ago
    The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns
    Download  www.mpi-inf.mpg.de
    The problem addressed in this paper is to predict a user's numeric rating in a product review from the text of the review. Unigram and n-gram representations of text are comm...
    Lizhen Qu, Georgiana Ifrim, Gerhard Weikum
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    KDD
    2009
    ACM
    190views Data Mining» more  KDD 2009»
    Named entity mining from click-through data using weakly supervised latent dirichlet allocation
    14 years 8 months ago
    Named entity mining from click-through data using weakly supervised latent dirichlet allocation
    Download  research.microsoft.com
    This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
    Gu Xu, Shuang-Hong Yang, Hang Li
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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 29 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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    WWW
    2009
    ACM
    154views Internet Technology» more  WWW 2009»
    Towards context-aware search by learning a very large variable length hidden markov model from search logs
    14 years 8 months ago
    Towards context-aware search by learning a very large variable length hidden markov model from search logs
    Download  research.microsoft.com
    Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
    Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
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