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AAAI
2006
15 years 5 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 2 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
ICANN
2009
Springer
15 years 11 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
AIS
1998
Springer
15 years 4 months ago
The Synergy of Learning Organisations and Flexible Information Technology
The switch from the Command-and-Control to Learning Organisation paradigm in the area of organisational theory is well understood. It is less well appreciated that learning organi...
George Rzevski, Kumkum Prasad
FOCS
2008
IEEE
15 years 10 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...