166 search results - page 31 / 34 » Automatically searching near-optimal artificial neural netwo... |
GECCO
2006
Springer
14 years 13 days 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...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
APIN
2002
13 years 8 months ago
2002
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
BMCBI
2011
13 years 3 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Many applications of networks of agents, including mobile sensor networks, unmanned air vehicles, autonomous underwater vehicles, involve 100s of agents acting collaboratively und...