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» Learning Internal Representations
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BC
2000
99views more  BC 2000»
14 years 11 months ago
Spinal motor control system incorporates an internal model of limb dynamics
The existence and utilization of an internal representation of the controlled object is one of the most important features of the functioning of neural motor control systems. This ...
Yury P. Shimansky
ICML
2008
IEEE
16 years 18 days ago
Memory bounded inference in topic models
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
Ryan Gomes, Max Welling, Pietro Perona
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 5 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
ATAL
2008
Springer
15 years 1 months ago
Internal models and private multi-agent belief revision
We generalize AGM belief revision theory to the multi-agent case. To do so, we first generalize the semantics of the singleagent case, based on the notion of interpretation, to th...
Guillaume Aucher
LREC
2010
148views Education» more  LREC 2010»
15 years 1 months ago
ISO-TimeML: An International Standard for Semantic Annotation
In this paper, we present ISO-TimeML, a revised and interoperable version of the temporal markup language, TimeML. We describe the changes and enrichments made, while framing the ...
James Pustejovsky, Kiyong Lee, Harry Bunt, Laurent...