121 search results - page 21 / 25 » Learning Decision Theoretic Utilities through Reinforcement ... |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
ATAL
2004
Springer
15 years 2 months ago
2004
Springer
Argumentation-based negotiation approaches have been proposed to present realistic negotiation contexts. This paper presents a novel Bayesian network based argumentation and decis...
99
Voted
MM
2006
ACM
15 years 3 months ago
2006
ACM
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
78
Voted
CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...