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» Training of Classifiers Using Virtual Samples Only
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BMCBI
2006
129views more  BMCBI 2006»
13 years 9 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
IVA
2009
Springer
14 years 3 months ago
Varying Personality in Spoken Dialogue with a Virtual Human
We extend a virtual human architecture that has been used to build tactical questioning characters with a parameterizable personality model, allowing characters to be designed with...
Michael Rushforth, Sudeep Gandhe, Ron Artstein, An...
VRST
2006
ACM
14 years 2 months ago
Mixed reality: are two hands better than one?
For simulating hands-on tasks, the ease of enabling two-handed interaction with virtual objects gives Mixed Reality (MR) an expected advantage over Virtual Reality (VR). A user st...
Aaron Kotranza, John Quarles, Benjamin Lok
ESWA
2008
223views more  ESWA 2008»
13 years 9 months ago
Credit risk assessment with a multistage neural network ensemble learning approach
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
Lean Yu, Shouyang Wang, Kin Keung Lai
ICPR
2004
IEEE
14 years 10 months ago
Rapid Spline-based Kernel Density Estimation for Bayesian Networks
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...
Boaz Lerner, Yaniv Gurwicz