Encyclopedia of machine learning and data mining

✍ Scribed by Sammut, Claude;Webb, Geoffrey I

• Publisher: Springer
• Year: 2017
• Tongue: English
• Leaves: 1341
• Edition: Second edition
• Category: Library

✦ Synopsis

Intro; Preface; Contributors; A; A/B Testing; Abduction; Definition; Motivation and Background; Structure of the Learning Task; Abduction in Artificial Intelligence; Abductive Concept Learning; Abduction and Induction; Abduction in Systems Biology; Cross-References; Recommended Reading; Absolute Error Loss; Accuracy; Definition; Cross-References; ACO; Actions; Active Learning; Definition; Structure of Learning System; Related Problems; Active Learning Scenarios; Constructive Active Learning; Pool-Based Active Learning; Stream-Based Active Learning; Other Forms of Active Learning;Annotation

✦ Table of Contents

Intro
Preface
Contributors
A
A/B Testing
Abduction
Definition
Motivation and Background
Structure of the Learning Task
Abduction in Artificial Intelligence
Abductive Concept Learning
Abduction and Induction
Abduction in Systems Biology
Cross-References
Recommended Reading
Absolute Error Loss
Accuracy
Definition
Cross-References
ACO
Actions
Active Learning
Definition
Structure of Learning System
Related Problems
Active Learning Scenarios
Constructive Active Learning
Pool-Based Active Learning
Stream-Based Active Learning
Other Forms of Active Learning Common Active Learning StrategiesStatistical Active Learning
The Need for Reference Distributions
A Detailed Example: Statistical Active Learning with LOESS
Greedy Versus Batch Active Learning
Cross-References
Recommended Reading
Active Learning Theory
Definition
Learning from Labeled and Unlabeled Data
Motivating Examples
Example: Thresholds on the Line
Example: Linear Separators in R2
Example: An Overabundance of Unlabeled Data
The Sample Complexity of Active Learning
Generic Results for Separable Data
Mildly Selective Sampling
A Bayesian Model
Other Work
Conclusion Cross-ReferencesRecommended Reading
Adaboost
Adaptive Control Processes
Adaptive Learning
Adaptive Real-Time Dynamic Programming
Synonyms
Definition
Motivation and Background
Structure of Learning System
Backup Operations
Off-Line Versus On-Line
Learning A Model
Summary of Theoretical Results
Special Cases and Extensions
Cross-References
Recommended Reading
Adaptive Resonance Theory
Adaptive Resonance Theory
ART Design Elements
Stable Fast Learning with Distributed and Winner-Take-All Coding
Complement Coding: Learning Both Absent Features and Present Features Matching, Attention, and SearchApplications
The Boston Testbed
Application 1: Learning from Experience with Self-Supervised ART
Application 2: Transforming Information into Knowledge Using ART Knowledge Discovery
Application 3: Correcting Errors by Biasing Attention Using Biased ART
Future Directions
New Paradigms for Autonomous Intelligent Systems: Complementary Computing and Laminar Computing
Complementary Computing in the Design of Perceptual/Cognitive and Spatial/Motor Systems Where's Waldo? Unifying Spatial and Object Attention, Learning, Recognition, and Search of Valued Objects and ScenesGeneral-Purpose Vision and How It Supports Object Learning, Recognition, and Tracking
Visual and Spatial Navigation, Cognitive Working Memory, and Planning
Social Cognition
Mental Disorders and Homeostatic Plasticity
Machine Consciousness?
Recommended Reading
Adaptive System
Agent
Agent-Based Computational Models
Agent-Based Modeling and Simulation
Agent-Based Simulation Models
AIS
Algorithm Evaluation
Definition
Motivation and Background
Processes and Techniques

✦ Subjects

Data mining;Machine learning;Encyclopedias;Electronic books;Machine learning -- Encyclopedias;Data mining -- Encyclopedias