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    ICML
    2000
    IEEE
    106views Machine Learning» more  ICML 2000»
    Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions
    16 years 6 months ago
    Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions
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    Manu Sridharan, Gerald Tesauro
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    ECML
    2005
    Springer
    147views Machine Learning» more  ECML 2005»
    Combining Bias and Variance Reduction Techniques for Regression Trees
    15 years 11 months ago
    Combining Bias and Variance Reduction Techniques for Regression Trees
    Download  userweb.cs.utexas.edu
    Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
    Yuk Lai Suen, Prem Melville, Raymond J. Mooney
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    BIOINFORMATICS
    2006
    78views more  BIOINFORMATICS 2006»
    A bi-dimensional regression tree approach to the modeling of gene expression regulation
    15 years 5 months ago
    A bi-dimensional regression tree approach to the modeling of gene expression regulation
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    Jianhua Ruan, Weixiong Zhang
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    79
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    BIOINFORMATICS
    2004
    47views more  BIOINFORMATICS 2004»
    Regression trees for regulatory element identification
    15 years 5 months ago
    Regression trees for regulatory element identification
    Download  biosoft.kaist.ac.kr
    Tu Minh Phuong, Doheon Lee, Kwang Hyung Lee
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    JMLR
    2011
    156views more  JMLR 2011»
    Web-Search Ranking with Initialized Gradient Boosted Regression Trees
    15 years 9 days ago
    Web-Search Ranking with Initialized Gradient Boosted Regression Trees
    Download  www.cse.wustl.edu
    Ananth Mohan, Zheng Chen, Kilian Q. Weinberger
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