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PhD Thesis (Adaptive Learning Procedure (Change Detection (Control…
PhD Thesis
Adaptive
Learning
Procedure
Memory
Data Management
Single Example
Multiple Examples
Fixed Size
Variable Size
Forgetting Mechanism
Abrupt Forgetting
Fixed Size
Variable Size
Gradual Forgetting
Change Detection
Control charts
Monitoring Distributions
Sequential Analysis
Contextual
Learning
Adaption Methods
Blind
Informed
Local
Global
Model Management
Single Model
#
Ensemble
Active model pool management
Model Selection
Reocurrence
Model Weighting
Learning Mode
Retraining
Incremental
Online
Streaming
Incremental
Loss Estimation
Model Dependent
Model Independent
Sliding Winow
Fading Factor
Ideas
Feedback
Reinforcement Learning
Distributed Models
Sequential Analysis
Steady State
Transient Situations
Risk
Nonstationary Environments
Learning
Drift detection
Online
Supervised vs Unsupervised
Incremental
Knowledge Shifts
Domain Adaptation
Transfer Learning
Covariate Shift
Model Adaptation
Active Approach
Passive Approach
Concept Drift
Characterization
Drift Transition
Incremental
Probabilistic
Gradual
Drift Reoccurence
Non-reocurring Drift
Reocurring Drift
Cyclical Drift
Fixed Duration
Varying Duration
Non-cyclical Drift
Drift Frequency
Concept Duration
Drift Duration
Abrupt Drift
Blip Drift
Extended Drift
Drift Magnitude
Drift Subject
Covariate Drift
Novel Class Appearance
Class Drift
Subconcept Drift
Full-concept Drift
Statistics
Machine Learning