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Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
ISBN: N/A
EAN: N/A
Year: 2005
Pages: 123
BUY ON AMAZON
Building Intelligent .NET Applications: Agents, Data Mining, Rule-Based Systems, and Speech Processing
Table of Contents
Copyright
Praise for Building Intelligent .NET Applications
Foreword
Preface
Who Is This Book For?
What You Should Know
A Note about Security
Why I Wrote This Book
Sample Applications
Why Just Microsoft Technologies?
Acknowledgments
About the Author
Chapter 1. Introduction
The AI Effect
Enhanced Computing
Seamless Computing
Why Should You Consider Enhanced Computing?
Why Use Visual Studio .NET?
How This Book is Organized
What You Need
Chapter 2. Creating Applications That Talk
The Microsoft Speech Application SDK (SASDK)
Business Benefits of Speech
How the Speech Engine Works
Installing the SASDK
Creating a Speech Application
Debugging and Tuning a Speech Application
Setting Up a Telephony Server
Summary
Chapter 3. Telephony Applications
Creating a Speech Application to Solve a Business Problem
Loading the Sales Scheduling Database
Building a Telephony Application
Tuning User Prompts
Summary
Chapter 4. Multimodal Speech Applications
Why Create Multimodal Applications?
Sunrise Community College
Building a Multimodal Application
The Manifest File
Running the Application on PocketPC
Application Tuning
Summary
Chapter 5. Data-Mining Predictions
Introducing Data Mining with SQL Server
Savings Mart
Working with Mining Models
Summary
Chapter 6. Applying Data-Mining Predictions
Working with the Sample Application
Generating New Shipment Schedules
Measuring the Success of the New Shipment Method
Closed Loop Processing
Summary
Chapter 7. An Evolving Database
Understanding Rule-based Systems
Zoom Lending
Building a Rule-based Application
Summary
Chapter 8. Building an Agent
Understanding Agents
Building a Multiple Agent Solution
Summary
Chapter 9. The Future of Enhanced Computing
The Next Development Platform
Microsoft Research (MSR)
What About AI?
Other Areas of AI
Opportunities for Developers
Glossary
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
W
X
Y
Bibliography
Index
index_SYMBOL
index_A
index_B
index_C
index_D
index_E
index_F
index_G
index_H
index_I
index_J
index_K
index_L
index_M
index_N
index_O
index_P
index_Q
index_R
index_S
index_T
index_U
index_V
index_W
index_X
index_Y
index_Z
Building Intelligent .NET Applications(c) Agents, Data Mining, Rule-Based Systems, and Speech Processing
ISBN: N/A
EAN: N/A
Year: 2005
Pages: 123
BUY ON AMAZON
Image Processing with LabVIEW and IMAQ Vision
Some Definitions
Frame Grabbing
Compression Techniques
Image Standards
Quantitative Analysis
Excel Scientific and Engineering Cookbook (Cookbooks (OReilly))
Debugging VBA Code
Importing Data Using Drag-and-Drop
Importing Data from Access Databases
Filtering Data
Saving Custom Chart Types
Postfix: The Definitive Guide
Postfix Architecture
Receiving Limits
Mailing-List Managers
Spam Detection
Postfix and TLS
Introduction to 80x86 Assembly Language and Computer Architecture
String Operations
Bit Manipulation
Decimal Arithmetic
Input/Output
Appendix C MASM 6.11 Reserved Words
Java Concurrency in Practice
Benefits of Threads
Risks of Threads
Sharing Objects
Summary
Avoiding Liveness Hazards
Quantitative Methods in Project Management
Introduction to Probability and Statistics for Projects
Organizing and Estimating the Work
Risk-Adjusted Financial Management
Expense Accounting and Earned Value
Quantitative Time Management
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