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    APIN
    2004
    131views more  APIN 2004»
    Rough Self Organizing Map
    14 years 10 months ago
    Rough Self Organizing Map
    Download  www.isical.ac.in
    A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
    Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra
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    AIIDE
    2007
    105views Artificial Intelligence» more  AIIDE 2007»
    Learning a Table Soccer Robot a New Action Sequence by Observing and Imitating
    15 years 12 days ago
    Learning a Table Soccer Robot a New Action Sequence by Observing and Imitating
    Download  www.aaai.org
    Star-Kick is a commercially available and fully automatic table soccer (foosball) robot, which plays table soccer games against human players on a competitive level. One of our re...
    Dapeng Zhang 0002, Bernhard Nebel
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    ACL
    2003
    105views Computational Linguistics» more  ACL 2003»
    Closing the Gap: Learning-Based Information Extraction Rivaling Knowledge-Engineering Methods
    14 years 11 months ago
    Closing the Gap: Learning-Based Information Extraction Rivaling Knowledge-Engineering Methods
    Download  www.comp.nus.edu.sg
    In this paper, we present a learning approach to the scenario template task of information extraction, where information filling one template could come from multiple sentences. ...
    Hai Leong Chieu, Hwee Tou Ng, Yoong Keok Lee
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    NIPS
    2001
    123views Information Technology» more  NIPS 2001»
    Learning Lateral Interactions for Feature Binding and Sensory Segmentation
    14 years 11 months ago
    Learning Lateral Interactions for Feature Binding and Sensory Segmentation
    Download  books.nips.cc
    We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
    Heiko Wersing
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    CIIA
    2009
    208views Information Technology» more  CIIA 2009»
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    14 years 11 months ago
    Dynamic Scheduling in Petroleum Process using Reinforcement Learning
    Download  sunsite.informatik.rwth-aachen.de
    Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
    Nassima Aissani, Bouziane Beldjilali
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