463 search results - page 2 / 93 » Induction in Noisy Domains |
98
Voted
TNN
1998
14 years 11 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
ECAI
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Learning in complex contexts often requires pure induction to be supported by various kinds of meta-information. Providing such information is a critical, difficult and ...
DIS
2006
Springer
15 years 3 months ago
2006
Springer
Protein domains are the building blocks of proteins, and their interactions are crucial in forming stable protein-protein interactions (PPI) and take part in many cellular processe...
91
Voted
AAAI
2006
15 years 1 months ago
2006
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
ATAL
2005
Springer
15 years 5 months ago
2005
Springer
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...