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Approaching Concept Drift by Context Feature PartitioningHoffmann, Nico, Kirmse, Matthias, Petersohn, Uwe 20 February 2012 (has links) (PDF)
In this paper we present a new approach to handle concept drift using domain-specific knowledge. More precisely, we capitalize known context features to partition a domain into subdomains featuring static class distributions. Subsequently, we learn separate classifiers for each sub domain and classify new instances accordingly. To determine the optimal partitioning for a domain we apply a search algorithm aiming to maximize the resulting accuracy. In practical domains like fault detection concept drift often occurs in combination with imbalances data. As this issue gets more important learning models on smaller subdomains we additionally use sampling methods to handle it. Comparative experiments with artificial data sets showed that our approach outperforms a plain SVM regarding different performance measures. Summarized, the partitioning concept drift approach (PCD) is a possible way to handle concept drift in domains where the causing context features are at least partly known.
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Off-line cursive handwriting recognition using synthetic training dataVarga, Tamás January 2006 (has links)
Zugl.: Bern, Univ., Diss., 2006
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Agent coordination mechanisms for solving a partitioning taskGoebels, Andreas January 2006 (has links)
Zugl.: Paderborn, Univ., Diss., 2006
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Sprachsynthese und Spracherkennung mit gemeinsamen Datenbasen akustische Analyse und ModellierungEichner, Matthias January 2006 (has links)
Zugl.: Dresden, Techn. Univ., Diss., 2006
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Reinforcement Learning für LaufroboterSchneider, Markus. January 2007 (has links)
Weingarten, Diplomarbeit, 2007.
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Learning an interest operator from human eye movementsKienzle, Wolf January 2008 (has links)
Zugl.: Tübingen, Univ., Diss., 2008
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Leaning search control knowlledge for equational deduction /Schulz, Stephan. January 2000 (has links)
Thesis (Dr. rer. nat.)--Technische Universität München, 2000. / "Infix"--Cover. Includes bibliographical references (p. [164]-175) and index.
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Konstruktionsverfahren vorwärtsgerichteter neuronaler NetzeStackelberg, Burkhard von. January 2003 (has links) (PDF)
Stuttgart, Univ., Diss., 2003.
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Neuronale Netze mit erweiterten bayesschen Methoden für reale DatensammlungenWeber, Karsten Ernst. Unknown Date (has links) (PDF)
Universiẗat, Diss., 2003--Bonn.
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Ein Verfahren zur Anreicherung fachgebietsspezifischer Ontologien durch BegriffsvorschlägeFaatz, Andreas. Unknown Date (has links)
Techn. Universiẗat, Diss., 2004--Darmstadt.
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