3084 search results - page 27 / 617 » Learning to Take Actions |
AAMAS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
KI
2008
Springer
13 years 7 months ago
2008
Springer
Ambient Intelligent (AmI) environments are supposed to act proactively anticipating the user's needs and preferences, therefore the capability of an AmI system to learn those ...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Action recognition is an important but challenging problem in video analytics with a number of solutions proposed to date. However, even if a reliable model for action representat...
ISCAS
2002
IEEE
14 years 10 days ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...