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» Learning from Collective Behavior
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AGENTS
2000
Springer
14 years 4 hour ago
Automated assistants to aid humans in understanding team behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. Tools that can help humans an...
Taylor Raines, Milind Tambe, Stacy Marsella
CVPR
2011
IEEE
13 years 3 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
NSDI
2008
13 years 10 months ago
Peeking into Spammer Behavior from a Unique Vantage Point
Understanding the spammer behavior is a critical step in the long-lasting battle against email spams. Previous studies have focused on setting up honeypots or email sinkholes cont...
Abhinav Pathak, Y. Charlie Hu, Zhuoqing Morley Mao
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 12 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
ATAL
2006
Springer
13 years 11 months ago
Learning executable agent behaviors from observation
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...