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UAI
1998
15 years 7 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
NIPS
1997
15 years 7 months ago
Learning to Schedule Straight-Line Code
Program execution speed on modern computers is sensitive, by a factor of two or more, to the order in which instructions are presented to the processor. To realize potential execu...
J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Do...
WSC
2000
15 years 7 months ago
Modeling reality with simulation games for a cooperative learning
In this work we want to show the importance of visualization, interfaces and re-design techniques through 3D modeling, animations and VRML in the developing of the simulation game...
João Rafael Galvão, Paulo Garcia Mar...
CEC
2010
IEEE
15 years 7 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
IJLT
2008
184views more  IJLT 2008»
15 years 6 months ago
Ad hoc transient communities: towards fostering knowledge sharing in learning networks
: To enhance users' social embedding within learning networks, we propose to establish ad hoc transient communities. These communities serve a particular goal, exist for a lim...
Adriana J. Berlanga, Peter B. Sloep, Liesbeth Kest...