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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 8 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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    MEDINFO
    2007
    132views Healthcare» more  MEDINFO 2007»
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    13 years 8 months ago
    Comparing Decision Support Methodologies for Identifying Asthma Exacerbations
    Download  www.cs.mtu.edu
    Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
    Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...
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    ACL
    2006
    146views Computational Linguistics» more  ACL 2006»
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    13 years 8 months ago
    An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
    Download  acl.ldc.upenn.edu
    This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
    Vijay Krishnan, Christopher D. Manning
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    EACL
    1993
    ACL Anthology
    88views Natural Language Processing» more  EACL 1993»
    A Strategy for Dynamic Interpretation: a Fragment and an Implementation
    13 years 8 months ago
    A Strategy for Dynamic Interpretation: a Fragment and an Implementation
    Download  acl.ldc.upenn.edu
    The strategy for natural language interpretation presented in this paper implements the dynamics of context change by translating natural language texts into a meaning representat...
    Olivier Bouchez, Jan van Eijck, Olivier Istace
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    COMAD
    2009
    175views Knowledge Management» more  COMAD 2009»
    Categorizing Concepts for Detecting Drifts in Stream
    13 years 7 months ago
    Categorizing Concepts for Detecting Drifts in Stream
    Download  www.cse.iitb.ac.in
    Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
    Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
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