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    DAGSTUHL
    1994
    88views Software Engineering» more  DAGSTUHL 1994»
    Lessons Learned from Building and Using the Arjuna Distributed Programming System
    15 years 6 months ago
    Lessons Learned from Building and Using the Arjuna Distributed Programming System
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    Santosh K. Shrivastava
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    127
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    ISMB
    1994
    98views Computational Biology» more  ISMB 1994»
    Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
    15 years 6 months ago
    Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
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    Foster J. Provost, Daniel N. Hennessy
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    NIPS
    1994
    124views Information Technology» more  NIPS 1994»
    From Data Distributions to Regularization in Invariant Learning
    15 years 6 months ago
    From Data Distributions to Regularization in Invariant Learning
    Download  www.bme.ogi.edu
    Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
    Todd K. Leen
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    55
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    CORR
    2010
    Springer
    51views Education» more  CORR 2010»
    A Gibbs distribution that learns from GA dynamics
    15 years 4 months ago
    A Gibbs distribution that learns from GA dynamics
    Download  chaosweb.complex.eng.hokudai.ac.jp
    Manabu Kitagata, Jun-ichi Inoue
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    ISF
    2006
    78views more  ISF 2006»
    Parameter learning of personalized trust models in broker-based distributed trust management
    15 years 4 months ago
    Parameter learning of personalized trust models in broker-based distributed trust management
    Download  agents.csie.ntu.edu.tw
    Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chan...
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