Statistical machine learning : a unified framework /: a unified framework. (2020)

• Record Type: Book
• Further Information: Note: Richard M. Golden.
• Authors: Golden, Richard M
• Contents: Part I: Inference and Learning Machines 1. A Statistical Machine Learning Framework 2. Set Theory for Concept Modeling; 3. Formal Machine Learning Algorithms Part II: Deterministic Learning Machines 4. Linear Algebra for Machine Learning; 5. Matrix Calculus for Machine Learning; 6. Convergence of Time-Invariant Dynamical Systems; 7. Batch Learning Algorithm Convergence Part III: Stochastic Learning Machines; 8. Random Vectors and Random Functions; 9. Stochastic Sequences 10. Probability Models of Data Generation; 11. Monte Carlo Markov Chain Algorithm Convergence; 12. Adaptive Learning Algorithm Convergence Part IV: Generalization Performance 13. Statistical Learning Objective Function Design; 14. Simulation Methods for Evaluating Generalization; 15. Analytic Formulas for Evaluating Generalization; 16. Model Selection and Evaluation
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 006.31; Machine learning -- Statistical methods; Computer algorithms
• Languages: English
• ISBNs: 9781351051484; 9781351051491; 9781351051477; 9781351051507
• Related ISBNs: 9781138484696
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.