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    ESANN
    2006
    192views Neural Networks» more  ESANN 2006»
    Margin based Active Learning for LVQ Networks
    13 years 11 months ago
    Margin based Active Learning for LVQ Networks
    Download  www2.in.tu-clausthal.de
    In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
    Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
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    HRI
    2007
    ACM
    127views Human Computer Interaction» more  HRI 2007»
    Learning by demonstration with critique from a human teacher
    14 years 2 months ago
    Learning by demonstration with critique from a human teacher
    Download  www.cs.cmu.edu
    Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
    Brenna Argall, Brett Browning, Manuela M. Veloso
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    CVPR
    2012
    IEEE
    213views Computer Vision» more  CVPR 2012»
    Complex loss optimization via dual decomposition
    12 years 18 days ago
    Complex loss optimization via dual decomposition
    Download  www.cs.sfu.ca
    We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
    Mani Ranjbar, Arash Vahdat, Greg Mori
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    IJCAI
    2007
    248views Artificial Intelligence» more  IJCAI 2007»
    Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
    13 years 11 months ago
    Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
    Download  www.cc.gatech.edu
    The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
    Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
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    GECCO
    2007
    Springer
    206views Optimization» more  GECCO 2007»
    Using code metric histograms and genetic algorithms to perform author identification for software forensics
    14 years 2 months ago
    Using code metric histograms and genetic algorithms to perform author identification for software forensics
    Download  www.cs.bham.ac.uk
    We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
    Robert Charles Lange, Spiros Mancoridis
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