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Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Statistical Pattern Recognition
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Performance analysis of the forgetting factor RLS algorithm
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An Adaptive Nearest Neighbor Classification Algorithm for Data Streams
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The Elements of Statistical Learning
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Bayesian Forecasting and Dynamic Models
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Classifier Ensembles for Changing Environments
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Classifier Design for Population and Sensor Drift
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Learning with Drift Detection
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Assessing the Impact of Changing Environments on Classifier Performance
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On-Line Estimation with the Multivariate Gaussian Distribution
inferredcites →https://doi.org/10.1007/978-3-540-89689-0_55openalex-snapshot
Adaptive Learning Rate for Online Linear Discriminant Classifiers
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Practical data mining in a large utility company
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Adaptive Algorithms and Stochastic Approximations
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Matrix Algebra From a Statistician’s Perspective
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Learning in the Presence of Concept Drift and Hidden Contexts
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Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
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A comparison of batch and incremental supervised learning algorithms
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Temporally adaptive estimation of logistic classifiers on data streams
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Implementation of self-tuning regulators with variable forgetting factors
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Real-time data mining of non-stationary data streams from sensor networks
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Asymptotic Properties of Weighted Likelihood Estimators
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Pattern Recognition and Neural Networks
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Fast tracking RLS algorithm using novel variable forgetting factor with unity zone
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A dynamic scorecard for monitoring baseline performance with application to tracking a mortgage portfolio
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Adaptive forgetting in recursive identification through multiple models†
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Modified least squares algorithm incorporating exponential resetting and forgetting
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Time-varying spectral estimation using AR models with variable forgetting factors
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Analysis of adaptive step-size SA algorithms for parameter tracking
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An adaptive algorithm with information-dependent data forgetting
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Analysis of adaptive step size SA algorithms for parameter tracking
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Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations
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A direct adaptive method for faster backpropagation learning: the RPROP algorithm
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Dynamic logistic regression
inferredcites →https://doi.org/10.1109/ijcnn.2000.861335openalex-snapshot
Convergence analysis of online linear discriminant analysis
inferredcites →https://doi.org/10.1109/mlsp.2007.4414329openalex-snapshot
Selective Fusion of Delayed Measurements in Filtering
inferredcites →https://doi.org/10.1109/tencon.1993.320521openalex-snapshot
Unified framework of adaptive forgetting identification algorithms for time-varying systems
inferredcites →https://doi.org/10.1109/tsmcb.2005.847744openalex-snapshot
Incremental Linear Discriminant Analysis for Classification of Data Streams
inferredcites →https://doi.org/10.1117/12.602766openalex-snapshot
Automatic target recognition using both measurements from identity sensors and motion information from tracking sensors
inferredcites →https://doi.org/10.1117/12.632730openalex-snapshot
Tracking concept drifting with Gaussian mixture model
inferredcites →https://doi.org/10.1137/1.9781611972726.15openalex-snapshot
Incremental Support Vector Machine Classification
inferredcites →https://doi.org/10.1145/1014052.1014110openalex-snapshot
On demand classification of data streams
inferredcites →https://doi.org/10.1145/312129.312285openalex-snapshot
The impact of changing populations on classifier performance
inferredcites →https://doi.org/10.1145/502512.502529openalex-snapshot
Mining time-changing data streams
inferredcites →https://doi.org/10.1145/502512.502568openalex-snapshot
A streaming ensemble algorithm (SEA) for large-scale classification
inferredcites →https://doi.org/10.1145/956750.956778openalex-snapshot
Mining concept-drifting data streams using ensemble classifiers
inferredcites →https://doi.org/10.1198/jasa.2005.s62openalex-snapshot
Kendall's Advanced Theory of Statistics, Vol. 2B: Bayesian Inference
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ROC Curves for Continuous Data
inferredcites →https://doi.org/10.1214/088342306000000060openalex-snapshot
Classifier Technology and the Illusion of Progress
inferredcites →https://doi.org/10.1214/ss/1042727940openalex-snapshot
Statistical Fraud Detection: A Review
inferredcites →https://doi.org/10.2307/1270666openalex-snapshot
Matrix Algebra from a Statistician's Perspective
inferredcites →https://doi.org/10.2307/2529753openalex-snapshot
Properties of Diagnostic Data Distributions
inferredcites →https://doi.org/10.2307/2531595openalex-snapshot
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
inferredcites →https://doi.org/10.3233/978-1-58603-891-5-132openalex-snapshot
Online optimization for variable selection in data streams
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On the window size for classification in changing environments
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Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Fuzzy ARTMAP Network And Clustering For Streaming Classification Under Emerging New Classes
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Online Bagging and Boosting for Imbalanced Data Streams
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