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    NAACL
    2004
    94views Computational Linguistics» more  NAACL 2004»
    Lattice-Based Search for Spoken Utterance Retrieval
    13 years 11 months ago
    Lattice-Based Search for Spoken Utterance Retrieval
    Download  acl.ldc.upenn.edu
    Recent work on spoken document retrieval has suggested that it is adequate to take the singlebest output of ASR, and perform text retrieval on this output. This is reasonable enou...
    Murat Saraclar, Richard Sproat
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    NIPS
    2004
    94views Information Technology» more  NIPS 2004»
    Schema Learning: Experience-Based Construction of Predictive Action Models
    13 years 11 months ago
    Schema Learning: Experience-Based Construction of Predictive Action Models
    Download  books.nips.cc
    Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
    Michael P. Holmes, Charles Lee Isbell Jr.
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    SDM
    2004
    SIAM
    141views Data Mining» more  SDM 2004»
    Visually Mining through Cluster Hierarchies
    13 years 11 months ago
    Visually Mining through Cluster Hierarchies
    Download  www.dbs.informatik.uni-muenchen.de
    Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
    Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
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    IIS
    2003
    111views Information Technology» more  IIS 2003»
    The Development of the Inductive Database System VINLEN: A Review of Current Research
    13 years 11 months ago
    The Development of the Inductive Database System VINLEN: A Review of Current Research
    Download  www.mli.gmu.edu
    Current research on the VINLEN inductive database system is briefly reviewed and illustrated by selected results. The goal of research on VINLEN is to develop a methodology for de...
    Kenneth A. Kaufman, Ryszard S. Michalski
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    IJCAI
    2003
    132views Artificial Intelligence» more  IJCAI 2003»
    Hierarchical Hidden Markov Models for Information Extraction
    13 years 11 months ago
    Hierarchical Hidden Markov Models for Information Extraction
    Download  www.biostat.wisc.edu
    Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
    Marios Skounakis, Mark Craven, Soumya Ray
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