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    INFFUS
    2008
    68views more  INFFUS 2008»
    An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
    13 years 6 months ago
    An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
    Download  users.rowan.edu
    As the number of the elderly population affected by Alzheimer's disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure t...
    Robi Polikar, Apostolos Topalis, Devi Parikh, Debo...
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    JDWM
    2007
    86views more  JDWM 2007»
    Predicting Future Customers via Ensembling Gradually Expanded Trees
    13 years 7 months ago
    Predicting Future Customers via Ensembling Gradually Expanded Trees
    Download  cs.nju.edu.cn
    Our LAMDAer team has won the PAKDD'06 Data Mining Competition (Open Category) Grand Champion. This report presents our solution to PAKDD'06 Data Mining Competition. Follo...
    Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-...
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    ACL
    2006
    100views Computational Linguistics» more  ACL 2006»
    Semantic Parsing with Structured SVM Ensemble Classification Models
    13 years 9 months ago
    Semantic Parsing with Structured SVM Ensemble Classification Models
    Download  acl.ldc.upenn.edu
    We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
    Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 9 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    ICAI
    2004
    147views Artificial Intelligence» more  ICAI 2004»
    A Comparison of Resampling Methods for Clustering Ensembles
    13 years 9 months ago
    A Comparison of Resampling Methods for Clustering Ensembles
    Download  lectureonline.cl.msu.edu
    -- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
    Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
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