864 search results - page 55 / 173 » Selective Attention Improves Learning |
98
Voted
ICML
1996
IEEE
16 years 1 months ago
1996
IEEE
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
115
Voted
WMTE
2008
IEEE
15 years 7 months ago
2008
IEEE
With the popularization of the wireless network, and the progress of mobile computing technology, the efficiency of the hand-held device is better, and its applications are wider....
100
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
114
Voted
TLT
2008
15 years 20 days ago
2008
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
109
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GECCO
2006
Springer
15 years 4 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...