3394 search results - page 391 / 679 » A Modal Model of Memory |
172
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GECCO
2005
Springer
16 years 6 days ago
2005
Springer
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...
173
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ASPLOS
1998
ACM
15 years 11 months ago
1998
ACM
Several application and technology trends indicate that it might be both pro table and feasible to move computation closer to the data that it processes. In this paper, we evaluat...
165
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EPIA
2009
Springer
15 years 10 months ago
2009
Springer
This paper presents an approach to endow a humanoid robot with the capability of learning new objects and recognizing them in an unstructured environment. New objects are learnt, w...
196
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NIPS
2008
15 years 8 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
184
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CASCON
1996
15 years 8 months ago
1996
Because changes to the database (DB) and workload occur during a DB system's lifetime, the physical DB design must evolve to sustain good performance. These changes are carri...