We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
UML sequence diagrams are commonly used to represent the interactions among collaborating objects. Reverse-engineered sequence diagrams are constructed from existing code, and hav...
This work defines several control-flow coverage criteria for testing the interactions among a set of collaborating objects. The criteria are based on UML sequence diagrams that a...
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...