Probabilistic Conditional Independence Structures by Milan Studeny
Probabilistic Conditional Independence Structures provides the mathematical description of probabilistic conditional independence structures; The monograph presents the methods of structural imsets and supermodular functions, and deals with independence implication and equivalence of structural imsets.-
Pattern Recognition and Machine Learning
-
Bayesian Networks and Decision Graphs
-
Novelty, Information and Surprise
-
Computational Methods in Biometric Authentication
-
Statistical Image Processing and Multidimensional Modeling
-
The Practice of Time Series Analysis
-
Computer Intrusion Detection and Network Monitoring
-
Probabilistic Networks and Expert Systems
-
Information Theoretic Learning
-
Estimation of Dependences Based on Empirical Data
-
Information and Complexity in Statistical Modeling
-
Feedforward Neural Network Methodology
-
Statistical and Inductive Inference by Minimum Message Length
-
The Cross-Entropy Method
-
Cumulative Sum Charts and Charting for Quality Improvement
-
Nonlinear Dimensionality Reduction
-
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
-
Support Vector Machines
-
The Nature of Statistical Learning Theory
-
Sequential Monte Carlo Methods in Practice
From the reviews:
"This monograph aims to present methods of structural imsets and supermodel functions and considers the independence implication and equivalence of structural imsetsDr. Studeny also looks at motivation, mathematical foundations and areas of application. … The book has been prepared so that it will be understood by statisticians but also by researchers, particularly … by those involved in Artificial intelligence. The Appendix, listed with the contents contains … all the necessary elementary mathematical notions that may be required or recalled." (Kybernetes, Vol. 34 (7-8), 2005)
"This monograph is a self-contained, unified mathematical treatment of basic results in the mathematical description of probabilistic conditional independence structures. … This monograph provides graduate students with a sound basis for further study and for research and is a valuable reference source for both statisticians and researchers in artificial intelligence." (J. Martyna, Zentralblatt MATH, Vol. 1070, 2005)
| SKU | Unavailable |
| ISBN 13 | 9781849969482 |
| ISBN 10 | 1849969485 |
| Title | Probabilistic Conditional Independence Structures |
| Author | Milan Studeny |
| Series | Information Science And Statistics |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2010-10-21 |
| Number of pages | 285 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |