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3114
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Distributed Case-Based Learning
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DAGSTUHL
1994
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Software Engineering
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Lessons Learned from Building and Using the Arjuna Distributed Programming System
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Santosh K. Shrivastava
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ISMB
1994
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Computational Biology
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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
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From Data Distributions to Regularization in Invariant Learning
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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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CORR
2010
Springer
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A Gibbs distribution that learns from GA dynamics
15 years 1 months ago
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chaosweb.complex.eng.hokudai.ac.jp
Manabu Kitagata, Jun-ichi Inoue
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ISF
2006
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ISF 2006
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Parameter learning of personalized trust models in broker-based distributed trust management
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agents.csie.ntu.edu.tw
Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chan...
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