119 search results - page 3 / 24 » Pruning Training Samples Using a Supervised Clustering Algor... |
EMNLP
2004
13 years 8 months ago
2004
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
ICASSP
2010
IEEE
13 years 7 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...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
BMCBI
2011
12 years 11 months ago
2011
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...