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NIPS
2003
15 years 8 months ago
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
Justin Werfel, Xiaohui Xie, H. Sebastian Seung
ETS
2002
IEEE
121views Hardware» more  ETS 2002»
15 years 6 months ago
Interactions of organizational culture and collaboration in working and learning
This paper reports the methodologies and findings of research done by the Enterprise Social Learning Architecture (ESLA) Task into learning processes in two diverse environments w...
Irena M. Ali, Celina Pascoe, Leoni Warne
SOFSEM
2010
Springer
16 years 3 months ago
Lessons in Software Evolution Learned by Listening to Smalltalk
The biggest challenge facing software developers today is how to gracefully evolve complex software systems in the face of changing requirements. We clearly need software systems t...
Oscar Nierstrasz, Tudor Gîrba
UIST
1994
ACM
15 years 11 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
197
Voted
JIRS
2010
120views more  JIRS 2010»
15 years 5 months ago
Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning
Distributed-air-jet MEMS-based systems have been proposed to manipulate small parts with high velocities and without any friction problems. The control of such distributed systems ...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...