Multi-Instance Learning Based Web Mining Export

@misc{citeulike:236272, abstract = {In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, a web mining problem, i.e. web index recommendation, is investigated from a multiinstance view. In detail, each web index page is regarded as a bag, while each of its linked pages is regarded as an instance. A user favoring an index page means that he or she is interested in at least one page linked by the index. Based ...}, author = {Zhi}, citeulike-article-id = {236272}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.9404}, keywords = {multiple-instance-learning}, posted-at = {2005-06-24 21:24:07}, priority = {5}, title = {Multi-Instance Learning Based Web Mining}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.9404} }

TY - GEN ID - citeulike:236272 L3 - citeulike-article-id:236272 N2 - In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. In this paper, a web mining problem, i.e. web index recommendation, is investigated from a multiinstance view. In detail, each web index page is regarded as a bag, while each of its linked pages is regarded as an instance. A user favoring an index page means that he or she is interested in at least one page linked by the index. Based ... TI - Multi-Instance Learning Based Web Mining KW - multiple-instance-learning AU - Zhi UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.9404 ER -