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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    13 years 9 months ago
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
    Rong Jin, Luo Si
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    ETS
    2000
    IEEE
    135views Hardware» more  ETS 2000»
    Results of a telecollaborative activity involving geographically disparate preservice teachers
    13 years 7 months ago
    Results of a telecollaborative activity involving geographically disparate preservice teachers
    Download  www.ifets.info
    This article discusses a telecollaborative activity that combines many strategies of interest in teacher education (i.e., case-based learning, online discussion, cross-university ...
    Kara M. Dawson, Cheryl L. Mason, Philip Molebash
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    DAGM
    2006
    Springer
    121views Image Processing» more  DAGM 2006»
    Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
    13 years 11 months ago
    Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
    Download  www5.informatik.uni-erlangen.de
    In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
    Christian Derichs, Heinrich Niemann
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    SEMWEB
    2009
    Springer
    164views Internet Technology» more  SEMWEB 2009»
    Actively Learning Ontology Matching via User Interaction
    14 years 2 months ago
    Actively Learning Ontology Matching via User Interaction
    Download  www.dit.unitn.it
    Ontology matching plays a key role for semantic interoperability. Many methods have been proposed for automatically finding the alignment between heterogeneous ontologies. However...
    Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu...
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    ICML
    2009
    IEEE
    188views Machine Learning» more  ICML 2009»
    Convex variational Bayesian inference for large scale generalized linear models
    14 years 8 months ago
    Convex variational Bayesian inference for large scale generalized linear models
    Download  www.kyb.tuebingen.mpg.de
    We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
    Hannes Nickisch, Matthias W. Seeger
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