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You searched for subject:(Maschinelles Lernen). Showing records 1 – 30 of 74 total matches.

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Ruhr Universität Bochum

1. Doliwa, Thorsten. Notions of teaching and complexity in computational learning theory.

Degree: 2013, Ruhr Universität Bochum

 Ein zentraler Punkt im Design und der Analyse von Algorithmen im maschinellen Lernen ist die Menge an Informationen die einem Lernalgorithmus geliefert wird, damit dieser… (more)

Subjects/Keywords: Mathematik; Theoretische Informatik; Maschinelles Lernen; Kombinatorik; Komplexität

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Doliwa, T. (2013). Notions of teaching and complexity in computational learning theory. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-38671

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doliwa, Thorsten. “Notions of teaching and complexity in computational learning theory.” 2013. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-38671.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doliwa, Thorsten. “Notions of teaching and complexity in computational learning theory.” 2013. Web. 18 Sep 2019.

Vancouver:

Doliwa T. Notions of teaching and complexity in computational learning theory. [Internet] [Thesis]. Ruhr Universität Bochum; 2013. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-38671.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doliwa T. Notions of teaching and complexity in computational learning theory. [Thesis]. Ruhr Universität Bochum; 2013. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-38671

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

2. Leßmann, Markus. Learning of invariant object recognition in hierarchical neural networks using temporal continuity.

Degree: 2014, Ruhr Universität Bochum

 Auch wenn die detaillierte Funktionsweise des menschlichen visuellen Kortex noch nicht entschlüsselt ist, gibt es mehrere postulierte Prinzipien, die er möglicherweise umsetzt: 1. Das Erlernen… (more)

Subjects/Keywords: Neuronales Netz; Objekterkennung; Maschinelles Lernen; Maschinelles Sehen; Künstliche Intelligenz

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APA (6th Edition):

Leßmann, M. (2014). Learning of invariant object recognition in hierarchical neural networks using temporal continuity. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-43543

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Leßmann, Markus. “Learning of invariant object recognition in hierarchical neural networks using temporal continuity.” 2014. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-43543.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Leßmann, Markus. “Learning of invariant object recognition in hierarchical neural networks using temporal continuity.” 2014. Web. 18 Sep 2019.

Vancouver:

Leßmann M. Learning of invariant object recognition in hierarchical neural networks using temporal continuity. [Internet] [Thesis]. Ruhr Universität Bochum; 2014. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-43543.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Leßmann M. Learning of invariant object recognition in hierarchical neural networks using temporal continuity. [Thesis]. Ruhr Universität Bochum; 2014. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-43543

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

3. Doğan, Ürün. Training multi-class support vector machines.

Degree: 2011, Ruhr Universität Bochum

 Support Vector Maschinen (SVM) sind bewährte Lernalgorithmen zur Mustererkennung, die ursprünglich für binäre Klassifikationsprobleme formuliert wurden. Für Mehrklassenprobleme sind verschiedene Erweiterungen gebräuchlich, unter denen sich… (more)

Subjects/Keywords: Maschinelles Lernen; Lerntheorie; Optimierung; Komplexität; Support-Vektor-Maschine

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APA (6th Edition):

Doğan, . (2011). Training multi-class support vector machines. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-36072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doğan, Ürün. “Training multi-class support vector machines.” 2011. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-36072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doğan, Ürün. “Training multi-class support vector machines.” 2011. Web. 18 Sep 2019.

Vancouver:

Doğan . Training multi-class support vector machines. [Internet] [Thesis]. Ruhr Universität Bochum; 2011. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-36072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doğan . Training multi-class support vector machines. [Thesis]. Ruhr Universität Bochum; 2011. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-36072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

4. Glasmachers, Tobias. Gradient based optimization of support vector machines.

Degree: 2008, Ruhr Universität Bochum

 In dieser Arbeit werden zwei unabhängige Probleme aus dem Bereich des Lernens mit Support-Vektor-Maschinen (SVM) mit Hilfe gradientenbasierter Optimierungstechniken gelöst. Für das erste Problem, das… (more)

Subjects/Keywords: Maschinelles Lernen; Support-Vektor-Maschine; Kerndarstellung; Nichtlineare Optimierung; Bayes-Verfahren

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APA (6th Edition):

Glasmachers, T. (2008). Gradient based optimization of support vector machines. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-23245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Glasmachers, Tobias. “Gradient based optimization of support vector machines.” 2008. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-23245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Glasmachers, Tobias. “Gradient based optimization of support vector machines.” 2008. Web. 18 Sep 2019.

Vancouver:

Glasmachers T. Gradient based optimization of support vector machines. [Internet] [Thesis]. Ruhr Universität Bochum; 2008. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-23245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Glasmachers T. Gradient based optimization of support vector machines. [Thesis]. Ruhr Universität Bochum; 2008. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-23245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

5. List, Nikolas. Convergence rates for SVM-decomposition-algorithms.

Degree: 2008, Ruhr Universität Bochum

 Diese Arbeit beschäftigt sich mit Optimierungsalgorithmen, die durch Support Vektor Maschinen (SVMs) induziert werden. Dabei wird ein hochdimensionales konvexes Optimierungsproblem typischerweise durch ein iteratives Näherungsverfahren… (more)

Subjects/Keywords: Theoretische Informatik; Maschinelles Lernen; Support-Vektor-Maschine; Quadratische Optimierung; Konvergenz

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APA (6th Edition):

List, N. (2008). Convergence rates for SVM-decomposition-algorithms. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-25888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

List, Nikolas. “Convergence rates for SVM-decomposition-algorithms.” 2008. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-25888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

List, Nikolas. “Convergence rates for SVM-decomposition-algorithms.” 2008. Web. 18 Sep 2019.

Vancouver:

List N. Convergence rates for SVM-decomposition-algorithms. [Internet] [Thesis]. Ruhr Universität Bochum; 2008. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-25888.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

List N. Convergence rates for SVM-decomposition-algorithms. [Thesis]. Ruhr Universität Bochum; 2008. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-25888

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

6. Polsterer, Kai Lars. The LUCIFER control software : the core system, instrument control and scientific applications.

Degree: 2011, Ruhr Universität Bochum

 Diese Dissertation behandelt die Architektur und Implementierung der Steuerungssoftware des Nah-Infrarot-Instruments LUCIFER. Dabei wird besonders auf die Kernkomponenten des verteilten Systems, die Ansteuerung der Elektroniken… (more)

Subjects/Keywords: Client-Server-Konzept; Entfernungsmessung; Anwendungssoftware; Maschinelles Lernen; Quasar

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APA (6th Edition):

Polsterer, K. L. (2011). The LUCIFER control software : the core system, instrument control and scientific applications. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Polsterer, Kai Lars. “The LUCIFER control software : the core system, instrument control and scientific applications.” 2011. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Polsterer, Kai Lars. “The LUCIFER control software : the core system, instrument control and scientific applications.” 2011. Web. 18 Sep 2019.

Vancouver:

Polsterer KL. The LUCIFER control software : the core system, instrument control and scientific applications. [Internet] [Thesis]. Ruhr Universität Bochum; 2011. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Polsterer KL. The LUCIFER control software : the core system, instrument control and scientific applications. [Thesis]. Ruhr Universität Bochum; 2011. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Vienna

7. Kristiner, Kevin. Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen.

Degree: 2018, University of Vienna

Diese Diplomarbeit beschäftigt sich mit der Untersuchung von Fußballdaten mittels maschinellem Lernen. Ausgehend von einigen Begriffsdefinitionen wurde anschließend der aktuelle Forschungsstand ermittelt. Im Zuge des… (more)

Subjects/Keywords: 76.14 Sportspiele; 54.74 Maschinelles Sehen; 76.10 Sport, Sportwissenschaft: Allgemeines; Sportspiel / maschinelles Lernen; sports game / Machine Learning

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APA (6th Edition):

Kristiner, K. (2018). Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/52333/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kristiner, Kevin. “Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen.” 2018. Thesis, University of Vienna. Accessed September 18, 2019. http://othes.univie.ac.at/52333/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kristiner, Kevin. “Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen.” 2018. Web. 18 Sep 2019.

Vancouver:

Kristiner K. Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen. [Internet] [Thesis]. University of Vienna; 2018. [cited 2019 Sep 18]. Available from: http://othes.univie.ac.at/52333/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kristiner K. Vorhersage von Torschussevents im Fußball basierend auf vorangegangenen Events mit Hilfe von Klassifikationsalgorithmen. [Thesis]. University of Vienna; 2018. Available from: http://othes.univie.ac.at/52333/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ruhr Universität Bochum

8. Forster, Jürgen. Some results concerning arrangements of half spaces and relative loss bounds.

Degree: 2002, Ruhr Universität Bochum

 Im ersten Teil der Arbeit beschäftigen wir uns mit dem Problem der Einbettung einer Konzeptklasse in eine Anordnung von Euklidischen Halbräumen. Wir geben untere Schranken… (more)

Subjects/Keywords: Maschinelles Lernen; Komplexitätstheorie; Competitive analysis; Halbraum

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APA (6th Edition):

Forster, J. (2002). Some results concerning arrangements of half spaces and relative loss bounds. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-4680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Forster, Jürgen. “Some results concerning arrangements of half spaces and relative loss bounds.” 2002. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-4680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Forster, Jürgen. “Some results concerning arrangements of half spaces and relative loss bounds.” 2002. Web. 18 Sep 2019.

Vancouver:

Forster J. Some results concerning arrangements of half spaces and relative loss bounds. [Internet] [Thesis]. Ruhr Universität Bochum; 2002. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-4680.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Forster J. Some results concerning arrangements of half spaces and relative loss bounds. [Thesis]. Ruhr Universität Bochum; 2002. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-4680

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Weichert, Frank. Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System.

Degree: 2010, Technische Universität Dortmund

 Erkrankungen des Herz-Kreislaufsystems sind in Deutschland für fast 50% der Todesfälle verantwortlich. Insbesondere die Arteriosklerose (vulgo: „Arterienverkalkung“) ist dabei ein dominierendes Krankheitsbild. So ist es… (more)

Subjects/Keywords: Ellipse Fitting; Fuzzy Logik; Maschinelle Lernverfahren; Medizinische Bildverarbeitung; Signalanalyse; 004; Fuzzy Logic; Maschinelles Lernen; Medizinische Bildgebung; Signalanalyse

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APA (6th Edition):

Weichert, F. (2010). Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Weichert, Frank. “Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System.” 2010. Thesis, Technische Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/27016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Weichert, Frank. “Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System.” 2010. Web. 18 Sep 2019.

Vancouver:

Weichert F. Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/27016.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Weichert F. Klassifikation morphologischer und pathologischer Strukturen in koronaren Gefäßen auf Basis intravaskulärer Ultraschallaufnahmen zur klinischen Anwendung in einem IVB-System. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27016

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Raffelt, Harald. Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren.

Degree: 2009, Technische Universität Dortmund

Subjects/Keywords: Maschinelles Lernen; Modelbasiertes Testen; Regular Inference; Requirements Engineering; 004

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APA (6th Edition):

Raffelt, H. (2009). Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/26228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raffelt, Harald. “Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren.” 2009. Thesis, Technische Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/26228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raffelt, Harald. “Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren.” 2009. Web. 18 Sep 2019.

Vancouver:

Raffelt H. Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren. [Internet] [Thesis]. Technische Universität Dortmund; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/26228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raffelt H. Extrapolation von Prozessmodellen aus Black-Box-Systemen mittels Automatenlernverfahren. [Thesis]. Technische Universität Dortmund; 2009. Available from: http://hdl.handle.net/2003/26228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Johannes Gutenberg Universität Mainz

11. Jäger, Peter. Automatic induction of lexical features.

Degree: 2011, Johannes Gutenberg Universität Mainz

 This thesis concerns artificially intelligent natural language processing systems that are capable of learning the properties of lexical items (properties like verbal valency or inflectional… (more)

Subjects/Keywords: Maschinelles Lernen; Künstliche Intelligenz; machine learning; artificial intelligence; Learn-Alpha; belief revision; English Resource Grammar; Language, Linguistics

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APA (6th Edition):

Jäger, P. (2011). Automatic induction of lexical features. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2011/2734/

Chicago Manual of Style (16th Edition):

Jäger, Peter. “Automatic induction of lexical features.” 2011. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed September 18, 2019. http://ubm.opus.hbz-nrw.de/volltexte/2011/2734/.

MLA Handbook (7th Edition):

Jäger, Peter. “Automatic induction of lexical features.” 2011. Web. 18 Sep 2019.

Vancouver:

Jäger P. Automatic induction of lexical features. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2011. [cited 2019 Sep 18]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2011/2734/.

Council of Science Editors:

Jäger P. Automatic induction of lexical features. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2011. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2011/2734/

12. Tomanek, Katrin. Resource-aware annotation through active learning.

Degree: 2010, Technische Universität Dortmund

 The annotation of corpora has become a crucial prerequisite for information extraction systems which heavily rely on supervised machine learning techniques and therefore require large… (more)

Subjects/Keywords: Active learning; Corpus annotation; Information extraction; Machine learning; Named entity recognition; Natural language processing; 004; Annotation; Computerlinguistik; Klassifikation; Linguistische Informatik; Maschinelles Lernen; Wissensverarbeitung

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APA (6th Edition):

Tomanek, K. (2010). Resource-aware annotation through active learning. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tomanek, Katrin. “Resource-aware annotation through active learning.” 2010. Thesis, Technische Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/27172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tomanek, Katrin. “Resource-aware annotation through active learning.” 2010. Web. 18 Sep 2019.

Vancouver:

Tomanek K. Resource-aware annotation through active learning. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/27172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tomanek K. Resource-aware annotation through active learning. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Lasarczyk, Christian W. G. Genetische Programmierung einer algorithmischen Chemie.

Degree: 2007, Technische Universität Dortmund

 Der genetischen Programmierung (GP) liegt zumeist die Annahme zugrunde, dass die Individuen eine evolvierte, wohldefinierte Struktur haben und ihre Ausführung deterministisch erfolgt. Diese Annahme hat… (more)

Subjects/Keywords: algorithmic chemistry; Algorithmische Chemie; artificial chemistry; DACE; design and analysis of computer experiments; Evolutionsfähigkeit; evolvability; genetic programming; Genetische Programmierung; Künstliche Chemie; machine learning; Maschinelles Lernen; spatial computing; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lasarczyk, C. W. (2007). Genetische Programmierung einer algorithmischen Chemie. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/25029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lasarczyk, Christian W. “Genetische Programmierung einer algorithmischen Chemie.” 2007. Thesis, Technische Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/25029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lasarczyk, Christian W. “Genetische Programmierung einer algorithmischen Chemie.” 2007. Web. 18 Sep 2019.

Vancouver:

Lasarczyk CW. Genetische Programmierung einer algorithmischen Chemie. [Internet] [Thesis]. Technische Universität Dortmund; 2007. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/25029.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lasarczyk CW. Genetische Programmierung einer algorithmischen Chemie. [Thesis]. Technische Universität Dortmund; 2007. Available from: http://hdl.handle.net/2003/25029

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Kallweit, Michael. Margin parameters for linear classification and their connections to selected complexity measures.

Degree: 2014, Ruhr Universität Bochum

 Es werden Komplexitätsparameter für die Klassifikationsaufgabe im Bereich des maschinellen Lernens untersucht, mit denen sich die "Schwierigkeit" von bestimmen Lernproblemen erfassen lassen. Da sich Konzeptklassen… (more)

Subjects/Keywords: Maschinelles Lernen; Semidefinite Optimierung; Kern (Mathematik); Halbraum; Harmonische Analyse

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kallweit, M. (2014). Margin parameters for linear classification and their connections to selected complexity measures. (Thesis). Ruhr Universität Bochum. Retrieved from http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-42089

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kallweit, Michael. “Margin parameters for linear classification and their connections to selected complexity measures.” 2014. Thesis, Ruhr Universität Bochum. Accessed September 18, 2019. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-42089.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kallweit, Michael. “Margin parameters for linear classification and their connections to selected complexity measures.” 2014. Web. 18 Sep 2019.

Vancouver:

Kallweit M. Margin parameters for linear classification and their connections to selected complexity measures. [Internet] [Thesis]. Ruhr Universität Bochum; 2014. [cited 2019 Sep 18]. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-42089.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kallweit M. Margin parameters for linear classification and their connections to selected complexity measures. [Thesis]. Ruhr Universität Bochum; 2014. Available from: http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-42089

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Vienna

15. Tüchler, Aisha Futura. The relation between expertise, performance and difficulty estimation in chess.

Degree: 2018, University of Vienna

Die vorliegende Arbeit beleuchtet die Relation zwischen Expertise, Leistung und Schwierigkeitseinschätzung im Schachspiel. Eine Kombination aus Methoden wurde angewandt, um die meta-kognitiven Phänomene Schwierigkeitseinschätzung und… (more)

Subjects/Keywords: 77.31 Kognition; 54.80 Angewandte Informatik; 30.30 Naturwissenschaften in Beziehung zu anderen Fachgebieten; Problemlösen / Schwierigkeit / Maschinelles Lernen / Expertise / Schach; human problem solving / difficulty estimation / machine learning / expertise / chess

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APA (6th Edition):

Tüchler, A. F. (2018). The relation between expertise, performance and difficulty estimation in chess. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/55537/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tüchler, Aisha Futura. “The relation between expertise, performance and difficulty estimation in chess.” 2018. Thesis, University of Vienna. Accessed September 18, 2019. http://othes.univie.ac.at/55537/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tüchler, Aisha Futura. “The relation between expertise, performance and difficulty estimation in chess.” 2018. Web. 18 Sep 2019.

Vancouver:

Tüchler AF. The relation between expertise, performance and difficulty estimation in chess. [Internet] [Thesis]. University of Vienna; 2018. [cited 2019 Sep 18]. Available from: http://othes.univie.ac.at/55537/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tüchler AF. The relation between expertise, performance and difficulty estimation in chess. [Thesis]. University of Vienna; 2018. Available from: http://othes.univie.ac.at/55537/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Vienna

16. Gastegger, Michael. Artificial Intelligence in Theoretical Chemistry.

Degree: 2017, University of Vienna

Strategien aus dem Forschungsbereich der künstlichen Intelligenz und insbesondere dem Gebiet des maschinellen Lernens eröffnen vielversprechende alternative Lösungswege für zahlreiche Probleme aus der theoretischen Chemie.… (more)

Subjects/Keywords: 35.11 Quantenchemie, chemische Bindung; 35.22 Physikalische Chemie: Sonstiges; 35.06 Computeranwendungen; 54.72 Künstliche Intelligenz; Maschinelles Lernen / Künstliche Intelligenz / Theoretische Chemie / Computergestützte Chemie; Machine learning / Artificial Inteligence / Theoretical Chemistry / Computational Chemistry

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APA (6th Edition):

Gastegger, M. (2017). Artificial Intelligence in Theoretical Chemistry. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/48122/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gastegger, Michael. “Artificial Intelligence in Theoretical Chemistry.” 2017. Thesis, University of Vienna. Accessed September 18, 2019. http://othes.univie.ac.at/48122/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gastegger, Michael. “Artificial Intelligence in Theoretical Chemistry.” 2017. Web. 18 Sep 2019.

Vancouver:

Gastegger M. Artificial Intelligence in Theoretical Chemistry. [Internet] [Thesis]. University of Vienna; 2017. [cited 2019 Sep 18]. Available from: http://othes.univie.ac.at/48122/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gastegger M. Artificial Intelligence in Theoretical Chemistry. [Thesis]. University of Vienna; 2017. Available from: http://othes.univie.ac.at/48122/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

17. Weinmann, Siegfried. Simulation of Spatial Learning Mechanisms.

Degree: 2013, ETH Zürich

 The evolution of information technology brings an entirely new perspective to old issues of transportation and the problem of overloaded road traffic networks. At the… (more)

Subjects/Keywords: MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); GEOMETRISCHES SCHLIESSEN + RÄUMLICHES SCHLIESSEN (KÜNSTLICHE INTELLIGENZ); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); GEOMETRIC REASONING + SPATIAL REASONING (ARTIFICIAL INTELLIGENCE); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA (6th Edition):

Weinmann, S. (2013). Simulation of Spatial Learning Mechanisms. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/75151

Chicago Manual of Style (16th Edition):

Weinmann, Siegfried. “Simulation of Spatial Learning Mechanisms.” 2013. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/75151.

MLA Handbook (7th Edition):

Weinmann, Siegfried. “Simulation of Spatial Learning Mechanisms.” 2013. Web. 18 Sep 2019.

Vancouver:

Weinmann S. Simulation of Spatial Learning Mechanisms. [Internet] [Doctoral dissertation]. ETH Zürich; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/75151.

Council of Science Editors:

Weinmann S. Simulation of Spatial Learning Mechanisms. [Doctoral Dissertation]. ETH Zürich; 2013. Available from: http://hdl.handle.net/20.500.11850/75151

18. Garczarek, Ursula. Classification rules in standardized partition spaces.

Degree: 2002, Universität Dortmund

 In dieser Doktorarbeit werden so genannte standardisierte Partitionsräume eingeführt, um Klassifikationsregeln darzustellen. Diese bieten ein übergreifendes Bezugssystemzur Darstellung einer Vielzahl unterschiedlicher Klassifikationsregeln.Der ursprüngliche Verwendungszweck von… (more)

Subjects/Keywords: classification; dynamic classification; Dynamische Klassifikation; experimental design; Klassifikation; machine learning; Maschinelles Lernen; partition spaces; Partitionsräume; statistics; Statistik; Versuchsplanung; 310

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APA (6th Edition):

Garczarek, U. (2002). Classification rules in standardized partition spaces. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/2789

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Garczarek, Ursula. “Classification rules in standardized partition spaces.” 2002. Thesis, Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/2789.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Garczarek, Ursula. “Classification rules in standardized partition spaces.” 2002. Web. 18 Sep 2019.

Vancouver:

Garczarek U. Classification rules in standardized partition spaces. [Internet] [Thesis]. Universität Dortmund; 2002. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/2789.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Garczarek U. Classification rules in standardized partition spaces. [Thesis]. Universität Dortmund; 2002. Available from: http://hdl.handle.net/2003/2789

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Vienna

19. Holzer, Peter. Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen.

Degree: 2017, University of Vienna

 Anhand einer Industrieanlage wird gezeigt, wie Daten vom Messsystem zu Zeitreihen aufbereitet und effizient zusammengefasst werden. Auf diesen standardisierten Datensätzen werden die Regressionsmethoden Lineare Modelle,… (more)

Subjects/Keywords: 31.80 Angewandte Mathematik; 30.03 Methoden und Techniken in den Naturwissenschaften; 52.99 Maschinenbau, Energietechnik, Fertigungstechnik: Sonstiges; 50.16 Technische Zuverlässigkeit, Instandhaltung; Vorausschauende Wartung / Zustandsüberwachung / Angewandte Statistik / Maschinelles Lernen / Industrie / Betriebswirtschaftliche Simulation; Predictive Maintenance / Condition Monitoring / Applied Statistics / Machine Learning / Industrial Field / Business Case Simulation

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APA (6th Edition):

Holzer, P. (2017). Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/46389/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Holzer, Peter. “Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen.” 2017. Thesis, University of Vienna. Accessed September 18, 2019. http://othes.univie.ac.at/46389/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Holzer, Peter. “Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen.” 2017. Web. 18 Sep 2019.

Vancouver:

Holzer P. Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen. [Internet] [Thesis]. University of Vienna; 2017. [cited 2019 Sep 18]. Available from: http://othes.univie.ac.at/46389/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Holzer P. Angewandte Statistische Methoden im Condition Monitoring und Predictive Maintenance für Industrieanlagen. [Thesis]. University of Vienna; 2017. Available from: http://othes.univie.ac.at/46389/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

20. Cărbune, Victor. Active Learning for Source Localization.

Degree: 2014, ETH Zürich

Subjects/Keywords: MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cărbune, V. (2014). Active Learning for Source Localization. (Thesis). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/154555

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cărbune, Victor. “Active Learning for Source Localization.” 2014. Thesis, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/154555.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cărbune, Victor. “Active Learning for Source Localization.” 2014. Web. 18 Sep 2019.

Vancouver:

Cărbune V. Active Learning for Source Localization. [Internet] [Thesis]. ETH Zürich; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/154555.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cărbune V. Active Learning for Source Localization. [Thesis]. ETH Zürich; 2014. Available from: http://hdl.handle.net/20.500.11850/154555

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Nieuwenburg, Everard P.L. van. Topology and localization out-of-equilibrium.

Degree: 2016, ETH Zürich

 A recent trend in condensed matter physics is that of taking systems out-of-equilibrium. In such a setting, physical phenomena are possible that do not have… (more)

Subjects/Keywords: PHYSIK DER KONDENSIERTEN MATERIE; NICHTGLEICHGEWICHTSPROBLEME (THERMODYNAMIK); VIELTEILCHENSYSTEME (QUANTENTHEORIE); KOHÄRENTE ZUSTÄNDE (QUANTENTHEORIE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); CONDENSED MATTER PHYSICS; NONEQUILIBRIUM PROBLEMS (THERMODYNAMICS); MANY-BODY SYSTEMS (QUANTUM THEORY); COHERENT STATES (QUANTUM MECHANICS); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); info:eu-repo/classification/ddc/530; info:eu-repo/classification/ddc/530; Physics; Physics

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APA (6th Edition):

Nieuwenburg, E. P. L. v. (2016). Topology and localization out-of-equilibrium. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/155891

Chicago Manual of Style (16th Edition):

Nieuwenburg, Everard P L van. “Topology and localization out-of-equilibrium.” 2016. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/155891.

MLA Handbook (7th Edition):

Nieuwenburg, Everard P L van. “Topology and localization out-of-equilibrium.” 2016. Web. 18 Sep 2019.

Vancouver:

Nieuwenburg EPLv. Topology and localization out-of-equilibrium. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/155891.

Council of Science Editors:

Nieuwenburg EPLv. Topology and localization out-of-equilibrium. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/155891

22. Lienemann, Kai. Advanced ensemble methods for automatic classification of 1H-NMR spectra.

Degree: 2010, Technische Universität Dortmund

Subjects/Keywords: Ensemble systems; Metabonomics; NMR; Pattern recognition; Safety pharmacology; Support vector machines; 004; Klassifikation; Maschinelles Lernen; Metabolit; Mustererkennung; NMR-Spektroskopie; Pharmazeutische Analyse; Support vector machine

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APA (6th Edition):

Lienemann, K. (2010). Advanced ensemble methods for automatic classification of 1H-NMR spectra. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lienemann, Kai. “Advanced ensemble methods for automatic classification of 1H-NMR spectra.” 2010. Thesis, Technische Universität Dortmund. Accessed September 18, 2019. http://hdl.handle.net/2003/27321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lienemann, Kai. “Advanced ensemble methods for automatic classification of 1H-NMR spectra.” 2010. Web. 18 Sep 2019.

Vancouver:

Lienemann K. Advanced ensemble methods for automatic classification of 1H-NMR spectra. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/2003/27321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lienemann K. Advanced ensemble methods for automatic classification of 1H-NMR spectra. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

23. Pletscher, Patrick André. Towards accurate structured output learning and prediction.

Degree: 2012, ETH Zürich

Subjects/Keywords: COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pletscher, P. A. (2012). Towards accurate structured output learning and prediction. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/63076

Chicago Manual of Style (16th Edition):

Pletscher, Patrick André. “Towards accurate structured output learning and prediction.” 2012. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/63076.

MLA Handbook (7th Edition):

Pletscher, Patrick André. “Towards accurate structured output learning and prediction.” 2012. Web. 18 Sep 2019.

Vancouver:

Pletscher PA. Towards accurate structured output learning and prediction. [Internet] [Doctoral dissertation]. ETH Zürich; 2012. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/63076.

Council of Science Editors:

Pletscher PA. Towards accurate structured output learning and prediction. [Doctoral Dissertation]. ETH Zürich; 2012. Available from: http://hdl.handle.net/20.500.11850/63076


ETH Zürich

24. Bossard, Lukas. Large Scale Learning for Automatic Image Organization.

Degree: 2014, ETH Zürich

Subjects/Keywords: COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bossard, L. (2014). Large Scale Learning for Automatic Image Organization. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/91879

Chicago Manual of Style (16th Edition):

Bossard, Lukas. “Large Scale Learning for Automatic Image Organization.” 2014. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/91879.

MLA Handbook (7th Edition):

Bossard, Lukas. “Large Scale Learning for Automatic Image Organization.” 2014. Web. 18 Sep 2019.

Vancouver:

Bossard L. Large Scale Learning for Automatic Image Organization. [Internet] [Doctoral dissertation]. ETH Zürich; 2014. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/91879.

Council of Science Editors:

Bossard L. Large Scale Learning for Automatic Image Organization. [Doctoral Dissertation]. ETH Zürich; 2014. Available from: http://hdl.handle.net/20.500.11850/91879


ETH Zürich

25. Stefanini, Fabio. Robust online learning in neuromorphic systems with spike-based, distributed synapses.

Degree: 2013, ETH Zürich

Subjects/Keywords: MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA (6th Edition):

Stefanini, F. (2013). Robust online learning in neuromorphic systems with spike-based, distributed synapses. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/154511

Chicago Manual of Style (16th Edition):

Stefanini, Fabio. “Robust online learning in neuromorphic systems with spike-based, distributed synapses.” 2013. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/154511.

MLA Handbook (7th Edition):

Stefanini, Fabio. “Robust online learning in neuromorphic systems with spike-based, distributed synapses.” 2013. Web. 18 Sep 2019.

Vancouver:

Stefanini F. Robust online learning in neuromorphic systems with spike-based, distributed synapses. [Internet] [Doctoral dissertation]. ETH Zürich; 2013. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/154511.

Council of Science Editors:

Stefanini F. Robust online learning in neuromorphic systems with spike-based, distributed synapses. [Doctoral Dissertation]. ETH Zürich; 2013. Available from: http://hdl.handle.net/20.500.11850/154511


ETH Zürich

26. Kim, Byungsoo. Learning Structured Representations for Geometry.

Degree: 2016, ETH Zürich

Subjects/Keywords: NEURONALE NETZWERKE + KONNEKTIONISMUS (KÜNSTLICHE INTELLIGENZ); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); BERECHENBARE GEOMETRIE + COMPUTERGEOMETRIE; NEURAL NETWORKS + CONNECTIONISM (ARTIFICIAL INTELLIGENCE); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); COMPUTATIONAL GEOMETRY + GEOMETRIC COMPUTATIONS; info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, B. (2016). Learning Structured Representations for Geometry. (Thesis). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/156119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Byungsoo. “Learning Structured Representations for Geometry.” 2016. Thesis, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/156119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Byungsoo. “Learning Structured Representations for Geometry.” 2016. Web. 18 Sep 2019.

Vancouver:

Kim B. Learning Structured Representations for Geometry. [Internet] [Thesis]. ETH Zürich; 2016. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/156119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim B. Learning Structured Representations for Geometry. [Thesis]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/156119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

27. Ringwald, Milanka. The fusion of multiple sources of information in the organization of goal-oriented behavior.

Degree: 2009, ETH Zürich

Subjects/Keywords: MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); PROBLEMLÖSEN + PLANEN + SUCHEN (KÜNSTLICHE INTELLIGENZ); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); PROBLEM SOLVING + PLAN GENERATION + SEARCH (ARTIFICIAL INTELLIGENCE); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ringwald, M. (2009). The fusion of multiple sources of information in the organization of goal-oriented behavior. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/151032

Chicago Manual of Style (16th Edition):

Ringwald, Milanka. “The fusion of multiple sources of information in the organization of goal-oriented behavior.” 2009. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/151032.

MLA Handbook (7th Edition):

Ringwald, Milanka. “The fusion of multiple sources of information in the organization of goal-oriented behavior.” 2009. Web. 18 Sep 2019.

Vancouver:

Ringwald M. The fusion of multiple sources of information in the organization of goal-oriented behavior. [Internet] [Doctoral dissertation]. ETH Zürich; 2009. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/151032.

Council of Science Editors:

Ringwald M. The fusion of multiple sources of information in the organization of goal-oriented behavior. [Doctoral Dissertation]. ETH Zürich; 2009. Available from: http://hdl.handle.net/20.500.11850/151032


ETH Zürich

28. Nushi, Besmira. Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems.

Degree: 2016, ETH Zürich

Subjects/Keywords: MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); WISSENSAKQUISITION + WISSENSERWERB (KÜNSTLICHE INTELLIGENZ); KNOWLEDGE ACQUISITION (ARTIFICIAL INTELLIGENCE); SOCIAL NETWORKS + WEBCOMMUNITIES + SOCIAL SOFTWARE (SOCIOLOGY); SOZIALE NETZWERKE + WEBDIENSTE + SOZIALE SOFTWARE (SOZIOLOGIE); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nushi, B. (2016). Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/129541

Chicago Manual of Style (16th Edition):

Nushi, Besmira. “Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems.” 2016. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/129541.

MLA Handbook (7th Edition):

Nushi, Besmira. “Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems.” 2016. Web. 18 Sep 2019.

Vancouver:

Nushi B. Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/129541.

Council of Science Editors:

Nushi B. Quality Control and Optimization for Hybrid Crowd-Machine Learning Systems. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/129541


ETH Zürich

29. Raychev, Veselin. Learning from Large Codebases.

Degree: 2016, ETH Zürich

Subjects/Keywords: DATA MINING (MATHEMATICAL STATISTICS); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); CODING (SOFTWARE ENGINEERING); SPECIAL PROGRAMMING METHODS; SPEZIELLE PROGRAMMIERMETHODEN; KODIERUNG (SOFTWARE ENGINEERING); DATA MINING (MATHEMATISCHE STATISTIK); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Raychev, V. (2016). Learning from Large Codebases. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/121456

Chicago Manual of Style (16th Edition):

Raychev, Veselin. “Learning from Large Codebases.” 2016. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/121456.

MLA Handbook (7th Edition):

Raychev, Veselin. “Learning from Large Codebases.” 2016. Web. 18 Sep 2019.

Vancouver:

Raychev V. Learning from Large Codebases. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/121456.

Council of Science Editors:

Raychev V. Learning from Large Codebases. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/121456


ETH Zürich

30. Pellet, Jean-Philippe. Effective Causal Analysis: Methods for Structure Learning and Explanations.

Degree: 2010, ETH Zürich

Subjects/Keywords: KAUSALES FOLGERN (MATHEMATISCHE LOGIK); MACHINE LEARNING (ARTIFICIAL INTELLIGENCE); MASCHINELLES LERNEN (KÜNSTLICHE INTELLIGENZ); MULTIVARIATE METHODS (MATHEMATICAL STATISTICS); CAUSAL REASONING (MATHEMATICAL LOGIC); MULTIVARIATE METHODEN (MATHEMATISCHE STATISTIK); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pellet, J. (2010). Effective Causal Analysis: Methods for Structure Learning and Explanations. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/72756

Chicago Manual of Style (16th Edition):

Pellet, Jean-Philippe. “Effective Causal Analysis: Methods for Structure Learning and Explanations.” 2010. Doctoral Dissertation, ETH Zürich. Accessed September 18, 2019. http://hdl.handle.net/20.500.11850/72756.

MLA Handbook (7th Edition):

Pellet, Jean-Philippe. “Effective Causal Analysis: Methods for Structure Learning and Explanations.” 2010. Web. 18 Sep 2019.

Vancouver:

Pellet J. Effective Causal Analysis: Methods for Structure Learning and Explanations. [Internet] [Doctoral dissertation]. ETH Zürich; 2010. [cited 2019 Sep 18]. Available from: http://hdl.handle.net/20.500.11850/72756.

Council of Science Editors:

Pellet J. Effective Causal Analysis: Methods for Structure Learning and Explanations. [Doctoral Dissertation]. ETH Zürich; 2010. Available from: http://hdl.handle.net/20.500.11850/72756

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