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» Exploring sensor networks using mobile agents
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ICML
2007
IEEE
16 years 4 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
MOBISYS
2007
ACM
16 years 3 months ago
Accelerometer-based human abnormal movement detection in wireless sensor networks
Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product reliability. An ideal application for wire...
T. Ryan Burchfield, S. Venkatesan
INFOCOM
2007
IEEE
15 years 10 months ago
Data Persistence in Large-Scale Sensor Networks with Decentralized Fountain Codes
Abstract—It may not be feasible for sensor networks monitoring nature and inaccessible geographical regions to include powered sinks with Internet connections. We consider the sc...
Yunfeng Lin, Ben Liang, Baochun Li
MMS
2007
15 years 5 months ago
An Experimental Frame for Evaluating Service Trading Overlays in Mobile ad-hoc Networks
Abstract: For evaluating dynamics of mobile ad-hoc networks at least three different layers have to be distinguished: the application layer, the protocol layer, and the network lay...
Mathias Röhl, Adelinde M. Uhrmacher, Birgitta...
AROBOTS
2007
159views more  AROBOTS 2007»
15 years 3 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone