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CHI
2011
ACM
13 years 2 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
SUM
2009
Springer
14 years 5 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
KR
2010
Springer
14 years 3 months ago
I Don't Want to Think About it Now: Decision Theory with Costly Computation
Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility,...
Joseph Y. Halpern
FLAIRS
2006
13 years 12 months ago
Some Second Order Effects on Interval Based Probabilities
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
David Sundgren, Mats Danielson, Love Ekenberg
CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 2 months ago
I Don't Want to Think About it Now:Decision Theory With Costly Computation
Computation plays a major role in decision making. Even if an agent is willing to ascribe a probability to all states and a utility to all outcomes, and maximize expected utility,...
Joseph Y. Halpern, Rafael Pass