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» Using probabilistic model checking in systems biology
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 6 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CIBCB
2007
IEEE
15 years 10 months ago
Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
Fatemeh Bakouie, Mohammad Hassan Moradi
ASE
2005
103views more  ASE 2005»
15 years 6 months ago
Component Verification with Automatically Generated Assumptions
Abstract. Model checking is an automated technique that can be used to determine whether a system satisfies certain required properties. The typical approach to verifying propertie...
Dimitra Giannakopoulou, Corina S. Pasareanu, Howar...
IJFCS
2006
130views more  IJFCS 2006»
15 years 6 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
CC
2003
Springer
15 years 11 months ago
A Compilation and Optimization Model for Aspect-Oriented Programs
This paper presents a semantics-based compilation model for an aspect-oriented programming language based on its operational semantics. Using partial evaluation, the model can expl...
Hidehiko Masuhara, Gregor Kiczales, Christopher Du...