《Programming Bayesian Network Solutions with Netica》
作者：Owen Woodberry
出版社： Lulu Press, Inc.
出版时间：2014-04-07
ISBN：9781291812671
内容介绍
使用Netica编程贝叶斯网络解决方案提供了一个温和但完善的介绍，介绍了如何使用Netica-API在Java中编程贝叶斯网络。这本书假设了很少的编程经验和对贝叶斯网络的基本理解，因此适合大多数有兴趣学习如何创建基于贝叶斯网络的软件的人，从小型任务特定脚本到大型项目。
目录
1 Introduction
Workbook Overview
Workbook Legend
Running Examples and Exercises: Lung Cancer and Native Fish Problems
Loading the Netica Engine
Netica API Family
Fundamentals
2 Building Basic Bayesian Networks
Goals
Introduction
Creating Networks
Creating Nodes and Defining States
Defining Structure
Defining CPTs
Achievements
3 Basic Inference and Findings
Goals
Introduction
Compiling, Updating and Reading Beliefs
Entering Findings
Achievements
4 Decision Networks
Goals
Introduction
Creating Decision and Utility Nodes
Defining Utility Node Values
Reading Utilities
Achievements
5 Real Valued Nodes
Goals
Introduction
Discrete Nodes with Values
Continuous Nodes
Reading Real Values
Entering Real Findings
Achievements
6 Node Lists and Related Nodes
Goals
Introduction
Managing Lists of Nodes
Graph Searches
Achievements
7 NeticaEx
Goals
Introduction
NeticaEx Classes
Using NeticaEx
Useful NeticaEx Methods
Achievements
Data, Learning and Parameterization
8 Cases
Goals
Introduction
Case Files
Writing/Reading Streamer Case Files
The Caseset Class
Connecting to a Database
Achievements
9 Generating CPTs via Data
Goals
Introduction
Counting Learning from Data
Experience
EM and Gradient Descent Learning
Achievements
10 Generating CPTs via Equations
Goals
Introduction
Writing Equations
Setting Node Equations
Converting Equations to Tables
Constant Nodes
Achievements
Testing and Evaluation
11 Network Testing
Goals
Introduction
The NetTester Class
Error Rate
Confusion Matrices
Log Loss and Quadratic Loss
Achievements
12 Sensitivity Analysis
Goals
Introduction
Measuring Sensitivity
Mutual Information
Variance of Real
Achievements
Scaling up to Bigger Projects
13 Net Libraries
Goals
Introduction
Creating Net Libraries
Importing Net Libraries
Achievements
14 Extending Classes
Goals
Introduction
Extending Netica via Inheritance
The User Class
Storing and Retrieving Simple Data with User Objects
Storing Objects in User Objects
A Practical Extension Example: Verbal Probabilities
Achievements
15 Graphical User Interfaces
Goals
Introduction
Classes
Manipulating network style and layout
Java-based GUIs for BNs
Achievements
