Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Lehner, Paul E."'
Autor:
Elson, Sara Beth, Hartman, Robert, Beatty, Adam, Trippe, Matthew, Buckley, Kerry, Bornmann, John, Bochniewicz, Elaine, Lehner, Mark, Korenovska, Liliya, Lee, Jessica, Servi, Les, Dingwall, Alison, Lehner, Paul E., Soltis, Maurita, Brown, Mark, Beltz, Brandon, Sprenger, Amber
Publikováno v:
Personnel Assessment and Decisions, Vol 4, Iss 1 (2018)
Externí odkaz:
https://doaj.org/article/87c5ae37d5364b32b465eaa303aad5cf
Autor:
Lehner, Paul E.
It is suggested that an AI inference system should reflect an inference policy that is tailored to the domain of problems to which it is applied -- and furthermore that an inference policy need not conform to any general theory of rational inference
Externí odkaz:
http://arxiv.org/abs/1304.1516
This paper argues that the principal difference between decision aids and most other types of information systems is the greater reliance of decision aids on fallible algorithms--algorithms that sometimes generate incorrect advice. It is shown that i
Externí odkaz:
http://arxiv.org/abs/1304.1515
Autor:
Lehner, Paul E.
A series of monte carlo studies were performed to assess the extent to which different inference procedures robustly output reasonable belief values in the context of increasing levels of judgmental imprecision. It was found that, when compared to an
Externí odkaz:
http://arxiv.org/abs/1304.1102
Autor:
Lehner, Paul E., Sadigh, Azar
A series of monte carlo studies were performed to compare the behavior of some alternative procedures for reasoning under uncertainty. The behavior of several Bayesian, linear model and default reasoning procedures were examined in the context of inc
Externí odkaz:
http://arxiv.org/abs/1303.5729
Autor:
Lehner, Paul E., Sadigh, Azar
Two algorithms are presented for "compiling" influence diagrams into a set of simple decision rules. These decision rules define simple-to-execute, complete, consistent, and near-optimal decision procedures. These compilation algorithms can be used t
Externí odkaz:
http://arxiv.org/abs/1303.1494
This paper examines the problem of constructing belief networks to evaluate plans produced by an knowledge-based planner. Techniques are presented for handling various types of complicating plan features. These include plans with context-dependent co
Externí odkaz:
http://arxiv.org/abs/1302.6830
Autor:
Stastny, Bradley J.1, Lehner, Paul E.2 paul.lehner@iarpa.gov
Publikováno v:
Judgment & Decision Making. 2018, Vol. 13 Issue 2, p202-211. 10p.
Autor:
Lehner, Paul E.
Publikováno v:
Organizational Behavior & Human Performance. Oct80, Vol. 26 Issue 2, p238-249. 12p. 5 Charts.
Autor:
Hu, Shui, Lehner, Paul E.
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence. Sep97, Vol. 19 Issue 9, p1048. 4p. 2 Diagrams, 1 Graph.