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    ICML
    2002
    IEEE
    156views Machine Learning» more  ICML 2002»
    Active + Semi-supervised Learning = Robust Multi-View Learning
    16 years 4 months ago
    Active + Semi-supervised Learning = Robust Multi-View Learning
    Download  www.isi.edu
    In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
    Ion Muslea, Steven Minton, Craig A. Knoblock
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    ICALT
    2008
    IEEE
    135views Machine Learning» more  ICALT 2008»
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    15 years 10 months ago
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    Download  ltee.org
    Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
    Tharrenos Bratitsis, Angelique Dimitracopoulou
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    ADMI
    2009
    Springer
    119views Intelligent Agents» more  ADMI 2009»
    Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
    15 years 10 months ago
    Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
    Download  www.csd.abdn.ac.uk
    In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
    Murat Sensoy, Pinar Yolum
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    156
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    AAAI
    2006
    127views Intelligent Agents» more  AAAI 2006»
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    15 years 4 months ago
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    Download  robotic.media.mit.edu
    As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
    Andrea Lockerd Thomaz, Cynthia Breazeal
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    110
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    ICALT
    2008
    IEEE
    98views Machine Learning» more  ICALT 2008»
    A Study on Personality in Designing Adaptive e-Learning Systems
    15 years 10 months ago
    A Study on Personality in Designing Adaptive e-Learning Systems
    Download  www.massey.ac.nz
    The aim of this study is to understand how learners with different personality respond to an e-learning content structure, by which it will help to build an instance of personalit...
    Amal Al-Dujaily, Hokyoung Ryu
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