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Fighting Dimensionality with Linguistic Geometry | p. 1 |
Statistical Physics and the Optimization of Autonomous Behaviour in Complex Virtual Worlds | p. 49 |
On Merging Gradient Estimation with Mean-Tracking Techniques for Cluster Identification | p. 63 |
Computational Aspects of Graph Theoretic Methods in Control | p. 73 |
Efficient Algorithms for Predictive Control of Systems with Bounded Inputs | p. 93 |
Applying New Numerical Algorithms to the Solution of Discrete-time Optimal Control Problems | p. 105 |
System Identification using Composition Networks | p. 119 |
Recursive Nonlinear Estimation of Non-linear/Non-Gaussian Dynamic Models | p. 141 |
Monte Carlo Approach to Bayesian Regression Modelling | p. 169 |
Identification of Reality in Bayesian Context | p. 181 |
Nonlinear Nonnormal Dynamic Models: State Estimation and Software | p. 195 |
The EM Algorithm: A Guided Tour | p. 209 |
Estimation of Quasipolynomials in Noise: Theoretical, Algorithmic and Implementation Aspects | p. 223 |
Iterative Reconstruction of Transmission Sinograms with Low Signal to Noise Ratio | p. 237 |
Curse of Dimensionality: Classifying Large Multi-Dimensional Images with Neural Networks | p. 249 |
Dimension-independent Rates of Approximation by Neural Networks | p. 261 |
Estimation of Human Signal Detection Performance from Event-Related Potentials Using Feed-Forward Neural Network Model | p. 271 |
Utilizing Geometric Anomalies of High Dimension: When Complexity Makes Computation Easier | p. 283 |
Approximation Using Cubic B-Splines with Improved Training Speed and Accuracy | p. 295 |
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.