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Adaptive Stochastic Search Methods for Parameter Adaptation of Simulation Models
Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models
Development of Human Performance Models for Man-Machine System Simulation
Toward Hierarchical Models for Statistical Machine Translation of Inflected Languages
Validation of Xpatch Computer Models for Human Body Radar Signature
Lessons Learned From Birth Cohort Studies Conducted in Diverse Environments
Journal of Allergy and Clinical Immunology
Allergy
Immunology
General Recognition Models Capable of Integrating Multiple Sensors for Different Domains
The Importance of Radiation for Semi-Empirical Water-Use Efficiency Models
The Importance of Radiation for Semi-Empirical Water-Use Efficiency Models
Optimization and Validation of Efficient Models for Predicting Polythiophene Self-Assembly
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