963 search results - page 23 / 193 » Active Learning by Labeling Features |
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
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...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...