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AI
1998
Springer
15 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
160
Voted
IEEEMM
2002
291views more  IEEEMM 2002»
15 years 4 months ago
Semantic Annotation of Sports Videos
ion when we annotate content. This therefore requires us to investigate and model video semantics. Because of the type and volume of data, general-purpose approaches are likely to ...
Jürgen Assfalg, Marco Bertini, Carlo Colombo,...
ANSS
2007
IEEE
15 years 11 months ago
Scalable Data Collection Protocols for Wireless Sensor Networks with Multiple Mobile Sinks
Data propagation in wireless sensor networks is usually performed as a multihop process. To deliver a single message, the resources of many sensor nodes are used and a lot of ener...
Athanasios Kinalis, Sotiris E. Nikoletseas
143
Voted
MSWIM
2006
ACM
15 years 10 months ago
Routing in intermittent network topologies
The topic of this paper is the algorithmic development of routing techniques for Delay Tolerant Networks (DTNs). Assuming a store and forward type of network transfers, our main o...
Padma Mundur, Sookyoung Lee, Matthew Seligman
MSWIM
2005
ACM
15 years 10 months ago
Adapting WLAN MAC parameters to enhance VoIP call capacity
This work describes a detailed simulation-based study of the performance of an IEEE 802.11e Medium Access Control (MAC) layer over an IEEE 802.11g Physical (PHY) layer. The study ...
Gráinne Hanley, Seán Murphy, Liam Mu...