2395 search results - page 99 / 479 » A selective sampling approach to active feature selection |
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
PERCOM
2010
ACM
13 years 8 months ago
2010
ACM
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
PPSN
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
CORR
2011
Springer
13 years 5 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
AAAI
2012
12 years 18 days ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...