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» Learning Action Selection Network of Intelligent Agent
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ECAI
2004
Springer
15 years 7 months ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
AAAI
2011
14 years 2 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
AAAI
2006
15 years 3 months ago
Learning Blocking Schemes for Record Linkage
Record linkage is the process of matching records across data sets that refer to the same entity. One issue within record linkage is determining which record pairs to consider, si...
Matthew Michelson, Craig A. Knoblock
IAT
2007
IEEE
15 years 8 months ago
Analysis of Multi-Actor Policy Contexts Using Perception Graphs
Policy making is a multi-actor process: it involves a variety of actors, each trying to further their own interests. How these actors decide and act largely depends on the way the...
Pieter W. G. Bots
AAAI
2008
15 years 4 months ago
Video Activity Recognition in the Real World
With recent advances in motion detection and tracking in video, more efforts are being directed at higher-level video analysis such as recognizing actions, events and activities. ...
Anthony Hoogs, A. G. Amitha Perera