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Table of Contents
Chapter 1: Machine Learning and Financial Engineering
Chapter 2: Neural Networks
Chapter 3: Wavelet Neural Networks
Chapter 4: Model Selection: Selecting the Architecture of the Network
Chapter 5: Variable Selection: Determining the Explanatory Variables
Chapter 6: Model Adequacy Testing: Determining the Networks Future Performance
Chapter 7: Modeling the Uncertainty: From Point Estimates to Prediction Intervals
Chapter 8: Modeling Financial Temperature Derivatives
Chapter 9: Modeling Financial Wind Derivatives
Chapter 10: Predicting Chaotic Time Series
Chapter 11: Classification of Breast Cancer Cases