2750 search results - page 14 / 550 » The complexity of learning SUBSEQ(A) |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
NIPS
1996
13 years 8 months ago
1996
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
NIPS
2007
13 years 8 months ago
2007
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
AAAI
2012
11 years 9 months ago
2012
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
ICMLA
2007
13 years 8 months ago
2007
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...