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ECAI
2008
Springer
13 years 8 months ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
COGSCI
2004
106views more  COGSCI 2004»
13 years 6 months ago
Can musical transformations be implicitly learned?
The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowabl...
Zoltan Dienes, H. Christopher Longuet-Higgins
CHI
2003
ACM
14 years 7 months ago
Exertion interfaces: sports over a distance for social bonding and fun
An Exertion Interface is an interface that deliberately requires intense physical effort. Exertion Interfaces have applications in "Sports over a Distance", potentially ...
Florian Mueller, Stefan Agamanolis, Rosalind W. Pi...
HICSS
2006
IEEE
140views Biometrics» more  HICSS 2006»
14 years 23 days ago
Programming Education in the Era of the Internet: A Paradigm Shift
Over the last several years, the Computer Science (CS) community has put a great deal of effort in to the area of security research, and have made great advances. Counterintuitive...
Scott Harrison, Nadine Hanebutte, Jim Alves-Foss
ACMSE
2006
ACM
14 years 21 days ago
Using genetic algorithms to generate test plans for functionality testing
Like in other fields, computer products (applications, hardware, etc.), before being marketed, require some level of testing to verify whether they meet their design and function...
Francisca Emanuelle Vieira, Francisco Martins, Raf...