Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
In a companion paper of this session [1] we formally defined the notion of equivalence classes of circuits which are physical clones of an existing benchmark seed circuit created ...
A new method for test resource partitioning is introduced which keeps the design-for-test logic independent of the test set and moves the test pattern dependent information to an ...
Abdul Wahid Hakmi, Hans-Joachim Wunderlich, Valent...