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CONNECTION
2004
98views more  CONNECTION 2004»
14 years 9 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
ICONIP
2009
14 years 7 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
CSCW
2012
ACM
13 years 5 months ago
Photoshop with friends: a synchronous learning community for graphic design
Photoshop with Friends is an online community of learners exchanging just-in-time help on graphic design tasks. The system attempts to provide an interactive, visual, context-awar...
Juho Kim, Benjamin Malley, Joel Brandt, Mira Dontc...
SIGCSE
2005
ACM
108views Education» more  SIGCSE 2005»
15 years 3 months ago
Teaching and learning ethics in computer science: walking the walk
The author shares techniques used in a successful "Ethics and Professionalism" class at California State University, San Bernardino. The author describes active learning...
Richard J. Botting
ICONIP
2009
14 years 7 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa