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    IJCAI
    2007
    180views Artificial Intelligence» more  IJCAI 2007»
    Explanation-Based Feature Construction
    14 years 11 months ago
    Explanation-Based Feature Construction
    Download  www.ijcai.org
    Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
    Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
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    MEDINFO
    2007
    266views Healthcare» more  MEDINFO 2007»
    Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
    14 years 11 months ago
    Automatic Image Modality Based Classification and Annotation to Improve Medical Image Retrieval
    Download  skynet.ohsu.edu
    Medical image retrieval can play an important role for diagnostic and teaching purposes in medicine. Image modality is an important visual characteristic that can be used to impro...
    Jayashree Kalpathy-Cramer, William R. Hersh
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    MEDINFO
    2007
    129views Healthcare» more  MEDINFO 2007»
    Confidentiality Preserving Audits of Electronic Medical Record Access
    14 years 11 months ago
    Confidentiality Preserving Audits of Electronic Medical Record Access
    Download  people.vanderbilt.edu
    Failure to supply a care provider with timely access to a patient's medical record can lead to patient harm or death. As such, healthcare organizations often endow care provi...
    Bradley Malin, Edoardo Airoldi
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    NAACL
    2007
    132views Computational Linguistics» more  NAACL 2007»
    Unsupervised Natural Language Processing Using Graph Models
    14 years 11 months ago
    Unsupervised Natural Language Processing Using Graph Models
    Download  wortschatz.uni-leipzig.de
    In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
    Chris Biemann
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    UAI
    2008
    252views Artificial Intelligence» more  UAI 2008»
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    14 years 11 months ago
    Small Sample Inference for Generalization Error in Classification Using the CUD Bound
    Download  www.stat.lsa.umich.edu
    Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
    Eric Laber, Susan Murphy
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