2395 search results - page 72 / 479 » A selective sampling approach to active feature selection |
ICRA
2008
IEEE
14 years 4 months ago
2008
IEEE
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
KDD
2012
ACM
12 years 17 days ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
ESANN
2006
13 years 11 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
SDM
2009
SIAM
14 years 7 months ago
2009
SIAM
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
SGAI
2004
Springer
14 years 3 months ago
2004
Springer
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...