Nonlinear Dimensionality Reduction by John A Lee
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the description starts from intuitive ideas, develops the necessary mathematical details and ends by outlining the algorithmic implementation. Methods are compared with each other with the help of different illustrative examples.-
Pattern Recognition and Machine Learning
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Bayesian Networks and Decision Graphs
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Novelty, Information and Surprise
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Computational Methods in Biometric Authentication
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Statistical Image Processing and Multidimensional Modeling
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The Practice of Time Series Analysis
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Computer Intrusion Detection and Network Monitoring
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Probabilistic Networks and Expert Systems
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Information Theoretic Learning
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Estimation of Dependences Based on Empirical Data
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Probabilistic Conditional Independence Structures
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Information and Complexity in Statistical Modeling
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Feedforward Neural Network Methodology
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Statistical and Inductive Inference by Minimum Message Length
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The Cross-Entropy Method
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Cumulative Sum Charts and Charting for Quality Improvement
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
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Support Vector Machines
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The Nature of Statistical Learning Theory
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Sequential Monte Carlo Methods in Practice
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Nonlinear Dimensionality Reduction |
| Author | John A Lee |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
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