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    » Protein Classification Using Neural Networks
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 8 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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    JUCS
    2007
    112views more  JUCS 2007»
    Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
    13 years 7 months ago
    Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
    Download  www.jucs.org
    : In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
    Leszek Borzemski
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    PAKDD
    2000
    ACM
    161views Data Mining» more  PAKDD 2000»
    Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
    13 years 11 months ago
    Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
    Download  www-users.cs.umn.edu
    Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
    Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
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    TIP
    2008
    344views more  TIP 2008»
    A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
    13 years 7 months ago
    A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
    Download  cvl.ice.cycu.edu.tw
    Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
    Lucia Maddalena, Alfredo Petrosino
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    ICANN
    2011
    Springer
    226views Neural Networks» more  ICANN 2011»
    Hybrid Parallel Classifiers for Semantic Subspace Learning
    12 years 11 months ago
    Hybrid Parallel Classifiers for Semantic Subspace Learning
    Download  www.informatik.uni-hamburg.de
    Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
    Nandita Tripathi, Michael P. Oakes, Stefan Wermter
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