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Book Cover
E-RESOURCE

Title Encyclopedia of machine learning and data mining / Claude Sammut, Geoffrey I. Webb, editors.

Published New York, NY : Springer, 2017.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Edition Second edition.
Physical description 1 online resource : illustrations (some color)
Series Springer Computer Science eBooks 2017 English+International
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
Summary Annotation This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most of the several hundred entries include useful literature references, providing the reader with a portal to more detailed information on any given topic.
Other author Sammut, Claude, 1956- editor.
Webb, Geoffrey I., editor.
SpringerLink issuing body.
Subject Machine learning -- Encyclopedias.
Data mining -- Encyclopedias.
Electronic books.
Encyclopedias.
ISBN 9781489976871 (electronic bk.)
1489976876 (electronic bk.)
9781489976864 (print and electronic bundle)
1489976868
9781489976864
9781489976857 (print)
1489976868
148997685X
Standard Number 10.1007/978-1-4899-7687-1
9781489976864