864 search results - page 26 / 173 » Selective Attention Improves Learning |
97
Voted
ICRA
2007
IEEE
15 years 7 months ago
2007
IEEE
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
110
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TEC
2002
15 years 9 days ago
2002
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
84
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NAACL
2004
15 years 2 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
120
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AAAI
2006
15 years 2 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
NN
2008
Springer
15 years 19 days ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...