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DSRT
2009
IEEE
15 years 10 months ago
Statemachine Matching in BOM Based Model Composition
Base Object Model (BOM) is a component-based standard designed to support reusability and Composability. Reusability helps in reducing time and cost of the development of a simula...
Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Far...
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
15 years 6 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
CSL
2010
Springer
15 years 4 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
15 years 12 months ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
FSKD
2006
Springer
298views Fuzzy Logic» more  FSKD 2006»
15 years 10 months ago
Risk Assessment of E-Commerce Projects Using Evidential Reasoning
The purpose of this study is to develop a decision making system to evaluate the risks in E-Commerce (EC) projects. Competitive software businesses have the critical task of assess...
Rashid Hafeez Khokhar, David A. Bell, Jiwen Guan, ...