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    SDM
    2012
    SIAM
    252views Data Mining» more  SDM 2012»
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    11 years 7 months ago
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    Download  david.grangier.info
    Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
    Xiaoxiao Shi, Jean-François Paiement, David...
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    CSL
    2010
    Springer
    168views Automated Reasoning» more  CSL 2010»
    Improving supervised learning for meeting summarization using sampling and regression
    13 years 4 months ago
    Improving supervised learning for meeting summarization using sampling and regression
    Download  www.hlt.utdallas.edu
    Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on ext...
    Shasha Xie, Yang Liu
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    AUSAI
    2007
    Springer
    176views Artificial Intelligence» more  AUSAI 2007»
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    13 years 8 months ago
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    Download  www.csse.monash.edu.au
    Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
    Peter J. Tan, David L. Dowe, Trevor I. Dix
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    IJCV
    2007
    145views more  IJCV 2007»
    Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
    13 years 4 months ago
    Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
    Download  www-sop.inria.fr
    — This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose...
    Mathias Ortner, Xavier Descombes, Josiane Zerubia
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    COLING
    2010
    102views Computational Linguistics» more  COLING 2010»
    A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
    12 years 11 months ago
    A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
    Download  acl.eldoc.ub.rug.nl
    The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
    Smruthi Mukund, Rohini K. Srihari
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