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ISI
2006
Springer
15 years 7 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
CPHYSICS
2007
71views more  CPHYSICS 2007»
15 years 7 months ago
Simulation of n-qubit quantum systems. III. Quantum operations
During the last decade, several quantum information protocols, such as quantum key distribution, teleportation or quantum computation, have attracted a lot of interest. Despite th...
T. Radtke, S. Fritzsche
JISE
2008
77views more  JISE 2008»
15 years 7 months ago
Formalized Entity Extraction Methodology for Changeable Business Requirements
business requirement in the real world cannot be abstracted correctly into an entity-relationship schema. Once core entities are discovered, we can obtain an Entity-Relationship Di...
Namgyu Kim, Sangwon Lee, Songchun Moon
CSCW
2007
ACM
15 years 7 months ago
Supporting Community Emergency Management Planning through a Geocollaboration Software Architecture
Emergency management is more than just events occurring within an emergency situation. It encompasses a variety of persistent activities such as planning, training, assessment, and...
Wendy A. Schafer, Craig H. Ganoe, John M. Carroll
JACM
2006
99views more  JACM 2006»
15 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
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