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» Model Combination for Machine Translation
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ICST
2009
IEEE
15 years 9 months ago
Test Input Generation Using UML Sequence and State Machines Models
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not cons...
Aritra Bandyopadhyay, Sudipto Ghosh
133
Voted
EDOC
2005
IEEE
15 years 8 months ago
Semantics of UML 2.0 Activity Diagram for Business Modeling by Means of Virtual Machine
— The paper proposes a more formalized definition of UML 2.0 Activity Diagram semantics. A subset of activity diagram constructs relevant for business process modeling is conside...
Valdis Vitolins, Audris Kalnins
JCO
2008
66views more  JCO 2008»
15 years 2 months ago
The hierarchical model for load balancing on two machines
Following previous work, we consider the hierarchical load balancing model on two machines of possibly different speeds. We first focus on maximizing the minimum machine load and ...
Orion Chassid, Leah Epstein
ACL
2010
15 years 18 days ago
Jointly Optimizing a Two-Step Conditional Random Field Model for Machine Transliteration and Its Fast Decoding Algorithm
This paper presents a joint optimization method of a two-step conditional random field (CRF) model for machine transliteration and a fast decoding algorithm for the proposed metho...
Dong Yang, Paul R. Dixon, Sadaoki Furui
CVPR
2010
IEEE
15 years 2 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton