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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
Certified Ethical Hacker Exam Prep
Key Terms
Key Terms
Wireless TechnologiesA Brief History
Buffer Overflows
Answers to Practice Exam Questions
Oracle Developer Forms Techniques
GUI Development
Using Form and Global Variables
Summary
Intelligence with Regard to Form Object Properties
Summary
Mastering Delphi 7
Delphis Database Architecture
Working with ADO
Internet Programming: Sockets and Indy
The Microsoft .NET Architecture from the Delphi Perspective
Appendix B Extra Delphi Tools from Other Sources
PMP Practice Questions Exam Cram 2
Answers and Explanations
Project PlanningCore Processes
Exam Prep Questions
Answers and Explanations
Answers and Explanations
Sap Bw: a Step By Step Guide for Bw 2.0
Creating an InfoSource for Transaction Data
Using BW Monitor
InfoCube Design Alternative I Time-Dependent Navigational Attributes
Maintaining InfoCube Data
Section A.1. ASAP for BW
Oracle SQL*Plus: The Definitive Guide (Definitive Guides)
Running SQL Queries
Table Joins
Creating HTML Reports
Writing SQL*Plus Scripts
SQL*Plus Settings You Can Control
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