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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 3 days ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
73
Voted
CHI
2004
ACM
15 years 10 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
CIA
2007
Springer
15 years 3 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
DIS
2005
Springer
15 years 3 months ago
The Arrowsmith Project: 2005 Status Report
In the 1980s, Don Swanson proposed the concept of “undiscovered public knowledge,” and published several examples in which two disparate literatures (i.e., sets of articles hav...
Neil R. Smalheiser
ECAI
2006
Springer
15 years 1 months ago
Agents with Anticipatory Behaviors: To Be Cautious in a Risky Environment
This work presents some anticipatory mechanisms in an agent architecture, modeling affective behaviours as effects of surprise. Through experiment discussion, the advantages of bec...
Cristiano Castelfranchi, Rino Falcone, Michele Piu...