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» A Generalization of Automatic Sequences
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ICML
2009
IEEE
14 years 11 months ago
A stochastic memoizer for sequence data
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...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
14 years 10 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
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...
PASTE
2005
ACM
14 years 3 months ago
Static control-flow analysis for reverse engineering of UML sequence diagrams
UML sequence diagrams are commonly used to represent the interactions among collaborating objects. Reverse-engineered sequence diagrams are constructed from existing code, and hav...
Atanas Rountev, Olga Volgin, Miriam Reddoch
FASE
2005
Springer
14 years 3 months ago
Coverage Criteria for Testing of Object Interactions in Sequence Diagrams
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...
Atanas Rountev, Scott Kagan, Jason Sawin
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Mining Quantitative Association Rules in Protein Sequences
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...