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Publications

Displaying results 1441 to 1450 of 15039.

  1. Verena Wolf

    Equivalences on Phase Type Processes

    PhD-Thesis, Universität Mannheim, Univ. 5/2008.

  2. David Spieler; Verena Wolf

    Efficient Steady State Analysis of Multimodal Markov Chains

    In: Alexander Dudin; Koen De Turck (Hrsg.). Analytical and Stochastic Modeling Techniques and Applications. International Conference on Analytical and Stochastic Modeling Techniques and Applications (ASMTA-2013), 20th International Conference, ASMTA 2013, July 8-10, Gent, Belgium, Pages 380-395, ISBN 9783642394089, Springer Berlin Heidelberg, Heidelberg, 7/2013.

  3. Gerrit Großmann; Luca Bortolussi; Verena Wolf

    Efficient simulation of non-Markovian dynamics on complex networks

    In: Hocine Cherifi (Hrsg.). PLOS ONE, Vol. 15, No. 10, Pages 1-18, PLOS ONE, 10/2020.

  4. Piotr Szymanski; Tomasz Kajdanowicz; Kristian Kersting

    How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?

    In: Entropy, Vol. 18, No. 8, Pages 0-10, MDPI, 2016.

  5. Alejandro Molina; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting

    Sum-Product Networks for Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03297, Pages 0-10, arXiv, 2017.

  6. Alejandro Molina; Alexander Munteanu; Kristian Kersting

    Coresets for Dependency Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1710.03285, Pages 0-10, arXiv, 2017.

  7. Christopher Morris; Kristian Kersting; Petra Mutzel

    Global Weisfeiler-Lehman Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.02379, Pages 0-10, arXiv, 2017.

  8. Nils M. Kriege; Marion Neumann; Christopher Morris; Kristian Kersting; Petra Mutzel

    A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1703.00676, Pages 0-10, arXiv, 2017.

  9. Zhao Xu; Romain Vial; Kristian Kersting

    Graph Enhanced Memory Networks for Sentiment Analysis

    In: Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski (Hrsg.). Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2017), September 18-22, Skopje, Macedonia, The Former Yugoslav Republic of, Pages 374-389, Lecture Notes in Computer Science, Vol. 10534, Springer, 2017.

  10. Zhao Xu; Kristian Kersting; Lorenzo von Ritter

    Stochastic Online Anomaly Analysis for Streaming Time Series

    In: Carles Sierra (Hrsg.). Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2017), August 19-25, Melbourne, Australia, Pages 3189-3195, ijcai.org, 2017.

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