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IJCAI
2003
15 years 6 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
HASE
2007
IEEE
15 years 11 months ago
Pattern-Based Modeling and Analysis of Failsafe Fault-Tolerance in UML
In order to facilitate incremental modeling and analysis of fault-tolerant embedded systems, we introduce an object analysis pattern, called the detector pattern, that provides a ...
Ali Ebnenasir, Betty H. C. Cheng
WOA
2007
15 years 6 months ago
Declarative representation of curricula models: an LTL- and UML-based approach
Abstract—In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical lang...
Matteo Baldoni, Cristina Baroglio, Giuseppe Berio,...
CMSB
2006
Springer
15 years 8 months ago
Type Inference in Systems Biology
Type checking and type inference are important concepts and methods of programming languages and software engineering. Type checking is a way to ensure some level of consistency, d...
François Fages, Sylvain Soliman
TACAS
2010
Springer
316views Algorithms» more  TACAS 2010»
15 years 3 months ago
JTorX: A Tool for On-Line Model-Driven Test Derivation and Execution
We introduce JTorX, a tool for model-driven test derivation and execution, based on the ioco theory. This theory, originally presented in [12], has been refined in [13] with test-...
Axel Belinfante