750 search results - page 15 / 150 » Learning SVMs from Sloppily Labeled Data |
BMCBI
2007
13 years 7 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
NIPS
2008
13 years 9 months ago
2008
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...