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Advances in Artificial Intelligence – SBIA 2004 - MaRDI portal

Advances in Artificial Intelligence – SBIA 2004

From MaRDI portal
Publication:5311213

DOI10.1007/b100195zbMath1105.68376OpenAlexW2487701457MaRDI QIDQ5311213

Pedro Medas, Pedro Pereira Rodrigues, João Gama, Gladys Castillo

Publication date: 22 August 2005

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/b100195




Related Items (36)

On the use of stochastic local search techniques to revise first-order logic theories from examplesA novel weight adjustment method for handling concept-drift in data stream classificationFault diagnosis with evolving fuzzy classifier based on clustering algorithm and drift detectionEvolving spiking neural networks for online learning over drifting data streamsAdversarial concept drift detection under poisoning attacks for robust data stream miningCredit scoring with drift adaptation using local regions of competenceLearning model trees from evolving data streamsAE-DIL: a double incremental learning algorithm for non-stationary time series prediction via adaptive ensembleUnnamed ItemAutonoML: Towards an Integrated Framework for Autonomous Machine LearningUnsupervised concept drift detection for time series on Riemannian manifoldsA concept drift-tolerant case-base editing techniqueOnline AutoML: an adaptive AutoML framework for online learningCombining block-based and online methods in learning ensembles from concept drifting data streamsOn evaluating stream learning algorithmsThe online performance estimation framework: heterogeneous ensemble learning for data streamsChallenges in benchmarking stream learning algorithms with real-world dataTemporally adaptive estimation of logistic classifiers on data streamsConcept drift detection via competence modelsConcept drift detection and adaptation with hierarchical hypothesis testingAn incremental learning algorithm based on the \( K\)-associated graph for non-stationary data classificationCharacterizing concept driftDealing with temporal and spatial correlations to classify outliers in geophysical data streamsA survey on concept drift adaptationInterval forecasts based on regression trees for streaming dataRecurring concept memory management in data streams: exploiting data stream concept evolution to improve performance and transparencyStreaming changepoint detection for transition matricesAn ensemble extreme learning machine for data stream classificationDetecting concept change in dynamic data streamsOnline linear and quadratic discriminant analysis with adaptive forgetting for streaming classificationFast and accurate detection of changes in data streamsDeveloping an online general type-2 fuzzy classifier using evolving type-1 rulesLUNAR: cellular automata for drifting data streamsVFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streamsEvaluation methods and decision theory for classification of streaming data with temporal dependenceAnalyzing and repairing concept drift adaptation in data stream classification


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