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NECO
2007
150views more  NECO 2007»
15 years 1 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
105
Voted
CE
2007
99views more  CE 2007»
15 years 1 months ago
Self-organising navigational support in lifelong learning: How predecessors can lead the way
Increased flexibility and modularisation in higher education complicates the process of learners finding their way through the offerings of higher education institutions. In lifel...
José Janssen, Colin Tattersall, Wim Waterin...
102
Voted
CHI
2009
ACM
16 years 2 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
AVSS
2006
IEEE
15 years 8 months ago
Nonparametric Background Modeling Using the CONDENSATION Algorithm
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several nonparametric background models have been proposed t...
Xingzhi Luo, Suchendra M. Bhandarkar, Wei Hua, Hai...
DGO
2007
150views Education» more  DGO 2007»
15 years 3 months ago
Event-triggered data and knowledge sharing among collaborating government organizations
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...