1215 search results - page 32 / 243 » Dimensions of machine learning in design |
CSDA
2007
13 years 7 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
COLT
1999
Springer
14 years 1 days ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
ICALT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
IADIS
2004
13 years 9 months ago
2004
The e-learning project GOLEM introduces a group and role-oriented concept to the course "Man-Machine Interfaces" at the University of Technology in Hamburg, Germany. Stu...