330 search results - page 12 / 66 » Self-taught learning: transfer learning from unlabeled data |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
ML
2010
ACM
13 years 6 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...