335 search results - page 5 / 67 » A Model of User-Oriented Reduct Construction for Machine Lea... |
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
ACL
2001
13 years 8 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
NN
2006
Springer
13 years 6 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
ICALT
2006
IEEE
14 years 23 days ago
2006
IEEE
Empirical Modelling is a body of principles and tools that has been developed for the construction of interactive environments. Our previous research has indicated respects in whi...
SAC
2006
ACM
14 years 20 days ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...