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    SPIESR
    2004
    196views Database» more  SPIESR 2004»
    Video mining using combinations of unsupervised and supervised learning techniques
    14 years 11 months ago
    Video mining using combinations of unsupervised and supervised learning techniques
    Download  www.merl.com
    We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised disc...
    Ajay Divakaran, Koji Miyahara, Kadir A. Peker, Reg...
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    NIPS
    2003
    142views Information Technology» more  NIPS 2003»
    Semi-Supervised Learning with Trees
    14 years 11 months ago
    Semi-Supervised Learning with Trees
    Download  www.psy.cmu.edu
    We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
    Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
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    COLING
    2000
    85views Computational Linguistics» more  COLING 2000»
    Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition
    14 years 11 months ago
    Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition
    Download  acl.ldc.upenn.edu
    Manabu Sassano, Takehito Utsuro
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    NIPS
    1993
    124views Information Technology» more  NIPS 1993»
    Supervised learning from incomplete data via an EM approach
    14 years 11 months ago
    Supervised learning from incomplete data via an EM approach
    Download  reference.kfupm.edu.sa
    Zoubin Ghahramani, Michael I. Jordan
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    NIPS
    1994
    120views Information Technology» more  NIPS 1994»
    Efficient Methods for Dealing with Missing Data in Supervised Learning
    14 years 11 months ago
    Efficient Methods for Dealing with Missing Data in Supervised Learning
    Download  wwwbrauer.in.tum.de
    We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
    Volker Tresp, Ralph Neuneier, Subutai Ahmad
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