3378 search results - page 34 / 676 » Learning in Friedberg Numberings |
100
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COLT
1999
Springer
15 years 4 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
108
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COLT
2007
Springer
15 years 6 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
109
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ECCC
2006
15 years 14 days ago
2006
Traditional quantum state tomography requires a number of measurements that grows exponentially with the number of qubits n. But using ideas from computational learning theory, we...
93
Voted
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
113
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TCS
2011
14 years 7 months ago
2011
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...