Improving discriminative sequential learning with rare--but--important associations Export

@inproceedings{citeulike:572500, address = {New York, NY, USA}, author = {Phan, Xuan-Hieu and Nguyen, Le-Minh and Ho, Tu-Bao and Horiguchi, Susumu}, booktitle = {KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining}, citeulike-article-id = {572500}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1081870.1081906}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1081870.1081906}, comment = {Uses datamining to find features to use for CRF}, doi = {10.1145/1081870.1081906}, isbn = {159593135X}, keywords = {crf}, pages = {304--313}, posted-at = {2006-04-01 22:41:10}, priority = {2}, publisher = {ACM Press}, title = {Improving discriminative sequential learning with rare--but--important associations}, url = {http://dx.doi.org/10.1145/1081870.1081906}, year = {2005} }

TY - CONF ID - citeulike:572500 L3 - citeulike-article-id:572500 SN - 159593135X AD - New York, NY, USA EP - 313 TI - Improving discriminative sequential learning with rare--but--important associations PB - ACM Press T2 - KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining SP - 304 KW - crf N1 - Uses datamining to find features to use for CRF AU - Phan, Xuan-Hieu AU - Nguyen, Le-Minh AU - Ho, Tu-Bao AU - Horiguchi, Susumu PY - 2005/// UR - http://dx.doi.org/10.1145/1081870.1081906 ER -