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» Using Bayesian Networks to Model Agent Relationships
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INFOCOM
2007
IEEE
14 years 3 months ago
The Cache Inference Problem and its Application to Content and Request Routing
— In many networked applications, independent caching agents cooperate by servicing each other’s miss streams, without revealing the operational details of the caching mechanis...
Nikolaos Laoutaris, Georgios Zervas, Azer Bestavro...
PERCOM
2005
ACM
14 years 8 months ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni
AROBOTS
2010
180views more  AROBOTS 2010»
13 years 8 months ago
Reactive direction control for a mobile robot: a locust-like control of escape direction emerges when a bilateral pair of model
Locusts possess a bilateral pair of uniquely identifiable visual neurons that respond vigorously to the image of an approaching object. These neurons are called the lobula giant m...
Shigang Yue, Roger D. Santer, Yoshifumi Yamawaki, ...
ESWA
2008
172views more  ESWA 2008»
13 years 8 months ago
DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant
DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
Antonio L. Arranz Matía, Alberto Cruz, Migu...
ICML
2007
IEEE
14 years 9 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...