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191
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ICCCI
2011
Springer
14 years 12 days ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon
134
Voted
HICSS
1999
IEEE
115views Biometrics» more  HICSS 1999»
15 years 5 months ago
Focusing on Mobility
In this paper, we motivate the importance of the field of mobile computing and survey current practical and formal approaches. We argue that the existing formalisms are not suffic...
Klaus Bergner, Radu Grosu, Andreas Rausch, Alexand...
102
Voted
CVPR
2006
IEEE
16 years 2 months ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
93
Voted
CHI
2005
ACM
16 years 1 months ago
Who gets to know what when: configuring privacy permissions in an awareness application
We report on a study (N=36) of user preferences for balancing awareness with privacy. Participants defined permissions for sharing of location, availability, calendar information ...
Sameer Patil, Jennifer Lai
RAID
1999
Springer
15 years 5 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen