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ISMB
1994
15 years 5 months ago
Distributed Machine Learning: Scaling Up with Coarse-grained Parallelism
Foster J. Provost, Daniel N. Hennessy
NIPS
1994
15 years 5 months ago
From Data Distributions to Regularization in Invariant Learning
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
55
Voted
CORR
2010
Springer
51views Education» more  CORR 2010»
15 years 4 months ago
A Gibbs distribution that learns from GA dynamics
Manabu Kitagata, Jun-ichi Inoue
ISF
2006
78views more  ISF 2006»
15 years 4 months ago
Parameter learning of personalized trust models in broker-based distributed trust management
Jane Yung-jen Hsu, Kwei-Jay Lin, Tsung-Hsiang Chan...