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Thomas Villmann – författare

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6 produkter

  1. Thomas Villmann, Marika Kaden, Tina Geweniger, Frank-Michael Schleif - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, Häftad. Tillgänglighet: Lägg i varukorg

    Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

    Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10–12, 2024

    Av Thomas Villmann, Marika Kaden m. fl.

    Häftad, 2024

    2245 kr

    Lägg i varukorg

    The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10–12, 2024.The book highlights new …

  2. Frank-Michael Schleif, Tina Geweniger, Marika Kaden, Thomas Villmann - Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, E-bok. Tillgänglighet: Lägg i varukorg

    Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond

    Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10–12, 2024

    Av Frank-Michael Schleif, Tina Geweniger m. fl.

    E-bok, 2024

    2685 kr

    Lägg i varukorg

    The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 10–12, 2024. The book highlights new …

  3. Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange - Advances in Self-Organizing Maps and Learning Vector Quantization, Häftad. Tillgänglighet: Lägg i varukorg

    Advances in Self-Organizing Maps and Learning Vector Quantization

    Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014

    Av Thomas Villmann, Frank-Michael Schleif m. fl.

    Häftad, 2014

    2469 kr

    Lägg i varukorg

    The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on …

  4. Mandy Lange, Marika Kaden, Frank-Michael Schleif, Thomas Villmann - Advances in Self-Organizing Maps and Learning Vector Quantization, E-bok. Tillgänglighet: Lägg i varukorg

    Advances in Self-Organizing Maps and Learning Vector Quantization

    Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014

    Av Mandy Lange, Marika Kaden m. fl.

    E-bok, 2014

    3348 kr

    Lägg i varukorg

    The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on …

  5. Thomas Villmann, M. Biehl, Barbara Hammer, Michel Verleysen - Similarity-Based Clustering, Häftad. Tillgänglighet: Lägg i varukorg

    Similarity-Based Clustering

    Recent Developments and Biomedical Applications

    Av Thomas Villmann, M. Biehl m. fl.

    Häftad, 2009

    567 kr

    Lägg i varukorg

    Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large …

  6. Michel Verleysen, Barbara Hammer, M. Biehl, Thomas Villmann - Similarity-Based Clustering, E-bok. Tillgänglighet: Lägg i varukorg

    Similarity-Based Clustering

    Recent Developments and Biomedical Applications

    Av Michel Verleysen, Barbara Hammer m. fl.

    E-bok, 2009

    755 kr

    Lägg i varukorg

    Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large …