Co-training and expansion: Towards bridging theory and practice Export

@misc{citeulike:1766875, abstract = {Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical successes, yet previous theoretical analyses have needed very strong assumptions on the data that are unlikely to be satisfied in practice.}, author = {Balcan, N. and Bluem, A. and Yang, K.}, citeulike-article-id = {1766875}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.1897}, keywords = {cotraining}, posted-at = {2007-10-14 15:45:42}, priority = {3}, title = {Co-training and expansion: Towards bridging theory and practice}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.1897}, year = {2004} }

TY - GEN ID - citeulike:1766875 L3 - citeulike-article-id:1766875 N2 - Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical successes, yet previous theoretical analyses have needed very strong assumptions on the data that are unlikely to be satisfied in practice. TI - Co-training and expansion: Towards bridging theory and practice KW - cotraining AU - Balcan, N AU - Bluem, A AU - Yang, K PY - 2004/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.1897 ER -