9888 search results - page 77 / 1978 » Active Algorithm Selection |
KAIS
2007
13 years 10 months ago
2007
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
PPSN
1994
Springer
14 years 2 months ago
1994
Springer
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
ICARIS
2005
Springer
14 years 3 months ago
2005
Springer
The (randomized) real-valued negative selection algorithm is an anomaly detection approach, inspired by the negative selection immune system principle. The algorithm was proposed t...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
ECAI
2004
Springer
14 years 3 months ago
2004
Springer
Abstract— Learning techniques in robotic grasping applications have usually been concerned with the way a hand approaches to an object, or with improving the motor control of man...