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» Probabilistic Relational Models
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EMNLP
2007
15 years 8 months ago
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
Issei Sato, Hiroshi Nakagawa
ETFA
2008
IEEE
16 years 1 months ago
Reactivity analysis of different Networked Automation System architectures
The reactivity of Networked Automation Systems (NAS) has direct influence on safety and quality aspects. It can be determined by a response time analysis, which itself can be calc...
Jürgen Greifeneder, Georg Frey
WCRE
2008
IEEE
16 years 1 months ago
SQL2XMI: Reverse Engineering of UML-ER Diagrams from Relational Database Schemas
Data modeling is an essential part of the software development process, and together with application modeling forms the core of the model-driven approach to software engineering....
Manar H. Alalfi, James R. Cordy, Thomas R. Dean
225
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BIOINFORMATICS
2012
13 years 9 months ago
Epigenetic priors for identifying active transcription factor binding sites
Motivation Accurate knowledge of the genome-wide binding of transcription factors in a particular cell type or under a particular condition is necessary for understanding transcri...
Gabriel Cuellar-Partida, Fabian A. Buske, Robert C...
182
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APSEC
2001
IEEE
15 years 10 months ago
Scheduling Software Projects to Minimize the Development Time and Cost with a Given Staff
A probabilistic scheduling model for software projects is presented. The model explicitly takes a scheduling strategy as input. When the scheduling strategy is fixed, the model ou...
Frank Padberg