Removing biases in unsupervised learning of sequential patterns1
Yoav Horman, Gal A. Kaminka · Intelligent Data Analysis · 2007
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the data. Popular approaches to such learning include (and often combine)