Abstract. We present a “memory-model-sensitive” approach to validating correctness properties for multithreaded programs. Our key insight is that by specifying both the inter-t...
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
Abstract. Object-oriented language concepts have been highly successful, resulting in a large number of object-oriented languages and language extensions. Unfortunately, formal met...