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    AAAI
    2008
    99views Intelligent Agents» more  AAAI 2008»
    Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
    15 years 9 months ago
    Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
    Download  www.cs.mcgill.ca
    This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
    Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
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    213
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    GECCO
    2010
    Springer
    165views Optimization» more  GECCO 2010»
    Evolving robust controller parameters using covariance matrix adaptation
    15 years 9 months ago
    Evolving robust controller parameters using covariance matrix adaptation
    Download  www.coboslab.psychologie.uni-wuerzburg.de
    In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
    Gerulf K. M. Pedersen, Martin V. Butz
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    198
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    LREC
    2010
    195views Education» more  LREC 2010»
    Adapting Chinese Word Segmentation for Machine Translation Based on Short Units
    15 years 9 months ago
    Adapting Chinese Word Segmentation for Machine Translation Based on Short Units
    Download  www.lrec-conf.org
    In Chinese texts, words composed of single or multiple characters are not separated by spaces, unlike most western languages. Therefore Chinese word segmentation is considered an ...
    Yiou Wang, Kiyotaka Uchimoto, Jun'ichi Kazama, Can...
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    224
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    ICVGIP
    2008
    171views Computer Vision» more  ICVGIP 2008»
    Fragment Based Tracking for Scale and Orientation Adaptation
    15 years 9 months ago
    Fragment Based Tracking for Scale and Orientation Adaptation
    Download  www.ee.iitb.ac.in
    In this work, we propose a simple yet highly effective algorithm for tracking a target through significant scale and orientation change. We divide the target into a number of frag...
    Viswanathan Srikrishnan, Tadinada Nagaraj, Subhasi...
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    15 years 9 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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