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    NIPS
    2004
    158views Information Technology» more  NIPS 2004»
    Learning Syntactic Patterns for Automatic Hypernym Discovery
    13 years 9 months ago
    Learning Syntactic Patterns for Automatic Hypernym Discovery
    Download  www.stanford.edu
    Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
    Rion Snow, Daniel Jurafsky, Andrew Y. Ng
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    BMVC
    1997
    147views Computer Vision» more  BMVC 1997»
    Color Recognition by Learning: ATR in Color Images
    13 years 9 months ago
    Color Recognition by Learning: ATR in Color Images
    Download  www.cs.colostate.edu
    Traditional methods for ATR Automatic Target Recognition use infrared IR sensors for detecting heat emanating fromtargets. IR-based ATR techniques are susceptible to sensor-in...
    Shashi D. Buluswar, Bruce A. Draper
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    IJCAI
    1997
    155views Artificial Intelligence» more  IJCAI 1997»
    Machine Learning Techniques to Make Computers Easier to Use
    13 years 9 months ago
    Machine Learning Techniques to Make Computers Easier to Use
    Download  www.ar.sanken.osaka-u.ac.jp
    Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
    Hiroshi Motoda, Kenichi Yoshida
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    COLING
    1996
    113views Computational Linguistics» more  COLING 1996»
    Learning to Recognize Names Across Languages
    13 years 9 months ago
    Learning to Recognize Names Across Languages
    Download  acl.ldc.upenn.edu
    The development of natural language proccssing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
    Anthony F. Gallippi
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    JMLR
    2006
    120views more  JMLR 2006»
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    13 years 8 months ago
    Kernel-Based Learning of Hierarchical Multilabel Classification Models
    Download  jmlr.csail.mit.edu
    We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
    Juho Rousu, Craig Saunders, Sándor Szedm&aa...
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