We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Context-bounded analysis is an attractive approach to verification of concurrent programs. Bounding the number of contexts executed per thread not only reduces the asymptotic compl...
Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamari...
Abstract. We propose an asynchronous protocol for general multiparty computation with perfect security and communication complexity O(n2 |C|k) where n is the number of parties, |C|...
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...