502 search results - page 12 / 101 » Learning from General Label Constraints |
NIPS
2008
13 years 11 months ago
2008
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
CVPR
2008
IEEE
14 years 3 months ago
2008
IEEE
While there is a large class
of Multiple-Target Tracking (MTT) problems for which batch
processing is possible and desirable, batch MTT remains relatively
unexplored in comparis...
CSIE
2009
IEEE
14 years 4 months ago
2009
IEEE
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
JMLR
2008
13 years 9 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...