Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization
redaktorzy : Paweł Ksieniewicz, Mariusz Uchroński
SPIS TREŚCI
1. Schur Parametrization and Orthogonal Modeling of p-Stationary Second-Order Stochastic Processes
2. Efficient DOA algorithms using multi-dimensional high-resolution Fourier transform
3. Wireless localization systems
4. Towards generating Palladio performance models from PIM and PSM models
5. Architecture of Dependency-Noise Ensemble for statistic-based diversification of multiple classifier systems
6. Model of active noise reduction system with adaptive filtering algorithms applied to automotive
7. A novel approach to learning and designing neural networks-based ensemble
8. Model based scheduling algorithm for transport and assembly of construction processes
9. Preference falsification: Insights from Monte Carlo simulations of an agent-based model with a Hamiltonian
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