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Practical Artificial Intelligence
Programming With Java
Third Edition
Mark Watson

Table of Contents 

1 Introduction

2 Search

3 Reasoning

4 Semantic Web

5 Expert Systems

6 Genetic Algorithms

7 Neural Networks

8 Machine Learning with Weka

9 Statistical Natural Language Processing

10 Information Gathering

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INTRODUCTION TO MACHINE LEARNING
AN EARLY DRAFT OF A PROPOSED
Nils J. Nilsson

Table of Contents 

1 Preliminaries

2 Boolean Functions

3 Using Version Spaces for Learnin

4 Neural Networks

5 Statistical Learning

6 Decision Trees

7 Inductive Logic Programming

8 Computational Learning Theory

9 Unsupervised Learning

10 Temporal-Di erence Learning

11 Delayed-Reinforcement Learning

12 Explanation-Based Learning

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Complexity Theory
Johan Hastad

Table of Contents 

1 Preface

2 Recursive Functions

3 Efficient computation, hierarchy theorems.

4 The complexity classes L, P and P SP ACE.

5 Nondeterministic computation

6 Relations among complexity classes

7 Complete problems

8 Constructing more complexity-classes

9 Probabilistic computation

10 Pseudorandom number generators

11 Parallel computation

12 Relativized computation

13 Interactive proofs

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Axiom
The Scientific Computation System
Axiom Jenks,
Sutor

Table of Contents 

Introduction to Axiom

1 An Overview of Axiom

2 Using Types and Modes

3 Using HyperDoc

4 Input Files and Output Styles

5 Overview of Interactive Language

6 User-Defined Functions, Macros and Rules

7 Graphics

8 Advanced Problem Solving

9 Some Examples of Domains and Packages

10 Interactive Programming

11 Packages

12 Categories

13 Domains

14 Browse
   
15 What’s New in Axiom Version 2.0

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The New Software Engineering
Sue Conger

Table of Contents 

CHAPTER 1  OVERVIEW OF SOFTWARE ENGINEERING

PART 1 PREPARATION FOR SOFTWARE ENGINEERING

CHAPTER 2  LEARNING APPLICATION DEVELOPMENT

CHAPTER 3  PROJECT MANAGEMENT

CHAPTER 4  DATA GATHERING FOR APPLICATION DEVELOPMENT

PART II PROJECT INITIATION

CHAPTER 5  ORGANIZATIONAL REENGINEERING AND ENTERPRISE PLANNING

CHAPTER 6  APPLICATION FEASIBILITY ANALYSIS AND PLANNING

PART III ANALYSIS AND DESIGN

CHAPTER 7  PROCESS-ORIENTED ANALYSIS

CHAPTER 8  PROCESS-ORIENTED DESIGN

CHAPTER 9  DATA-ORIENTED ANALYSIS

CHAPTER 10 DATA-ORIENTED DESIGN

CHAPTER 11 OBJECT-ORIENTED ANALYSIS

CHAPTER 12 OBJECT-ORIENTED DESIGN

CHAPTER 13 SUMMARY AND FUTURE OF SYSTEMS ANALYSIS, DESIGN, AND METHODOLOGIES

CHAPTER 14 FORGOTIEN ACTIVITIES

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CHAPTER 15 CHOOSING AN IMPLEMENTATION LANGUAGE

CHAPTER 16 PURCHASING HARDWARE AND SOFTWARE

CHAPTER 17 TESTING AND QUALITY ASSURANCE

CHAPTER 18 CHANGE MANAGEMENT

CHAPTER 19 SOFTWARE ENGINEERING AS A CAREER

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Information Systems
Richard T. Watson

Table of Contents 

1. Being a systems innovator

2. Achieving Efficiency and Effectiveness through Systems

3. Achieving efficiency and effectiveness through systems design

4. Business process modeling and process management

5. Information systems methodologies

6. Implementing systems

7. How hardware and software contribute to efficiency and effectiveness

8. Utilizing data for efficiency and effectiveness

9. Managing data for efficiency

10. Opportunities in the network age

11. Opportunities in business to business systems

12. Opportunities in peer-to-peer systems

13. Opportunities for new organizational forms

14. Information systems security

15. Avoiding information systems failures

16. Green IS: Building Sustainable Business Practices

17. Moving forward as a systems innovator

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