1648 search results - page 135 / 330 » Training Data Selection for Support Vector Machines |
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
LREC
2008
13 years 10 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
NIPS
2001
13 years 10 months ago
2001
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
CLEF
2011
Springer
12 years 9 months ago
2011
Springer
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...