2820 search results - page 1 / 564 » Learning from Scarce Experience |
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
MT
2002
13 years 4 months ago
2002
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automat...
TSD
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. The orthography of many resource-scarce languages includes diacritically marked characters. Falling outside the scope of the standard Latin encoding, these characters are...
MIDDLEWARE
2007
Springer
13 years 11 months ago
2007
Springer
In ad-hoc Grids where the availability of resources and tasks changes over the time, distributing the tasks among the scarce resources in a balanced way is a challenging task. In ...
DIAGRAMS
2004
Springer
13 years 10 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...