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» Problems of learning in multi-agent systems
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SIGCSE
2000
ACM
91views Education» more  SIGCSE 2000»
15 years 9 months ago
Machine learning in the liberal arts curriculum
Machine learning is typically considered a graduate-level course with an artificial intelligence course as a prerequisite. However, it does not need to be positioned this way, and...
Clare Bates Congdon
ECCV
2010
Springer
15 years 6 months ago
Inter-Camera Association of Multi-Target Tracks by On-line Learned Appearance Affinity Models
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
119
Voted
AAAI
2010
15 years 6 months ago
Toward an Architecture for Never-Ending Language Learning
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, inf...
Andrew Carlson, Justin Betteridge, Bryan Kisiel, B...
155
Voted
IJCAI
2007
15 years 6 months ago
Analogical Learning in a Turn-Based Strategy Game
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Thomas R. Hinrichs, Kenneth D. Forbus
119
Voted
AIEDU
2005
83views more  AIEDU 2005»
15 years 4 months ago
A Simulated Student Can Improve Collaborative Learning
This paper describes a Simulated Student architecture designed to detect and avoid three situations that decrease the benefits of learning in collaboration. These are off-topic con...
Aurora Vizcaíno