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ICML
2007
IEEE
15 years 10 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...
70
Voted
CHI
2005
ACM
15 years 10 months ago
Understanding email use: predicting action on a message
Email consumes significant time and attention in the workplace. We conducted an organizational survey to understand how and why people attend to incoming email messages. We examin...
Laura A. Dabbish, Robert E. Kraut, Susan R. Fussel...
CHI
2005
ACM
15 years 10 months ago
Topic spotting common sense translation assistant
Our Translation Assistant applies common sense logic to the problem of translating speech in real time from one language to another. Using speech recognition combined with a softw...
Jae-woo Chung, Rachel Kern, Henry Lieberman
75
Voted
CHI
2004
ACM
15 years 10 months ago
Pointing without a pointer
We present a method for performing selection tasks based on continuous control of multiple, competing agents who try to determine the user's intentions from their control beh...
John Williamson, Roderick Murray-Smith
ATAL
2009
Springer
15 years 4 months ago
A distributed constraint optimization approach for coordination under uncertainty
Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 vari...
James Atlas