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ICANN
2009
Springer
15 years 10 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
ITS
2010
Springer
122views Multimedia» more  ITS 2010»
15 years 8 months ago
DynaLearn: Architecture and Approach for Investigating Conceptual System Knowledge Acquisition
DynaLearn is an Interactive Learning Environment that facilitates a constructive approach to developing a conceptual understanding of how systems work. The software can be put in d...
Bert Bredeweg, Jochem Liem, Floris Linnebank, Ren&...
143
Voted
CLIN
2004
15 years 4 months ago
Machine Learning and the Cognitive Basis of Natural Language
Machine learning and statistical methods have yielded impressive results in a wide variety of natural language processing tasks. These advances have generally been regarded as eng...
Shalom Lappin
86
Voted
COMPLEXITY
2008
84views more  COMPLEXITY 2008»
15 years 3 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
130
Voted
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
15 years 8 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...