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» Observational Learning with Modular Networks
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106
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IDEAL
2000
Springer
15 years 4 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
77
Voted
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 5 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
IDA
1998
Springer
15 years 14 days ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
104
Voted
ICML
2010
IEEE
14 years 10 months ago
Boosted Backpropagation Learning for Training Deep Modular Networks
Alexander Grubb, J. Andrew Bagnell
78
Voted
AINA
2006
IEEE
15 years 6 months ago
Learning Observer Agents
Elhadi Shakshuki, Abdur Rafey Matin, Abdul Wasey M...