Relevant data expansion for learning concept drift from sparsely labeled data

Keywords

Computer science, Concept drift, Data stream, Data stream mining, Artificial intelligence

References

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Cited by

• High density-focused uncertainty sampling for active learning over evolving stream dataDino Ienco, Bernhard Pfahringer, Indrė Žliobaitė — 2014
• Learning from concept drifting data streams with unlabeled dataXindong Wu, Peipei Li, Xuegang Hu — 2010
• Knowledge Seeker - Ontology Modelling for Information Search and Management - A CompendiumLim, Edward H. Y., Liu, James N. K., Lee, Raymond S. T. — 2011
• Gaussian Mixture Approach to Detect DriftMamidi Sree Kalyan Chakravorty — 2006
• Effective graph-based content-based image retrieval systems for large-scale and small-scale image databasesRan Chang — 2013
• Discovering numeric laws, a case study: CO2 fugacity in the oceanK. Wickramaratna, Miroslav Kubát, Peter J. Minnett — 2008
• Intrusion Prevention in Information Systems: Reactive and Proactive ResponsesWei Thoo Yue, M. Çakanyıldırım — 2007
• Non-stationary data sequence classification using online class priors estimationChunyu Yang, Jie Zhou — 2008
• A New Method for Knowledge and Information Management Domain Ontology Graph ModelJames N. K. Liu, Yulin He, Edward H. Y. Lim — 2013
• Active Learning With Drifting Streaming DataIndrė Žliobaitė, Albert Bifet, Bernhard Pfahringer — 2014
• Maintaining Diagnostic Knowledge-Based Systems: A Control-Theoretic ApproachAlain Bensoussan, Radha Mookerjee, Vijay Mookerjee — 2009
• A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image RetrievalKonstantin Shkurko, Xiaojun Qi — 2007
• Toward incorporating a task-stage identification technique into the long-term document support processI‐Chin Wu, Duen‐Ren Liu, Pei‐Cheng Chang — 2008
• On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategiesMónica Millán-Giraldo, J. Salvador Sánchez, V. Javier Traver — 2011
• Dynamic classifier ensemble for positive unlabeled text stream classificationShirui Pan, Yang Zhang, Xue Li — 2012
• A noise‐resilient collaborative learning approach to content‐based image retrievalXiaojun Qi, Samuel Barrett, Ran Chang — 2011
• Transfer estimation of evolving class priors in data stream classificationZhihao Zhang, Jie Zhou — 2010
• Toward supporting information-seeking and retrieval activities based on evolving topic-needsI‐Chin Wu — 2011
• Adaptive mobile activity recognition system with evolving data streamsZahraa S. Abdallah, Mohamed Medhat Gaber, Bala Srinivasan — 2015
• A robust incremental learning method for non-stationary environmentsDavid Martínez‐Rego, Beatriz Pérez‐Sánchez, Óscar Fontenla-Romero — 2011

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