161 - 180 of 1717 results for "meaning"

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    5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18–20, 2022, Proceedings
    • Springer
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    From Homomorphisms and Disentanglement to Equivariance and Topography
    • Yue Song; Thomas Anderson Keller; Nicu Sebe; Max Welling
    • Springer
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    Methods and Applications
    • Cha Zhang
    • Springer
    • Fixed Layout

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    With Case Studies in Stata
    • Matthias Schonlau
    • Springer
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    Starting at:$30.00 USD

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    Data Wrangling, Exploration, Visualization, and Modeling with Python
    • 1st Edition
    • Sam Lau; Joseph Gonzalez; Deborah Nolan
    • O'Reilly Media
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    $76.99 USD

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    • 1st Edition
    • Baoling Shan; Xin Yuan; Wei Ni; Ren Ping Liu; Eryk Dutkiewicz
    • CRC Press
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    25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014, Proceedings
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    • Springer
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    • Shiliang Sun; Liang Mao; Ziang Dong; Lidan Wu
    • Springer
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    6th European Conference on Technology Enhanced Learning, EC-TEL 2011, Palermo, Italy, September 20-23, 2011, Proceedings
    • 1st Edition
    • Carlos Delgado Kloos; Denis Gillet; Raquel M Crespo Garcia
    • Springer
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    A Guide to Error Analysis
    • 2nd Edition
    • Manfred Drosg
    • Springer
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    Starting at:$29.70 USD

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    Renyi's Entropy and Kernel Perspectives
    • Jose C. Principe
    • Springer
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    Fundamentals, Research and Applications
    • 1st Edition
    • Hao Dong; Zihan Ding; Shanghang Zhang
    • Springer
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    • Cao Xiao; Jimeng Sun
    • Springer
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    7th International Conference, OLA 2024, Dubrovnik, Croatia, May 13–15, 2024, Revised Selected Papers
    • Springer
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    Starting at:$25.50 USD

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    Ein Einstieg für Studierende der Naturwissenschaften
    • Kenny Choo; Eliska Greplova; Mark H. Fischer; Titus Neupert
    • Springer Spektrum
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    Adversarial Robustness in Signal Processing
    • Fuwei Li; Lifeng Lai; Shuguang Cui
    • Springer
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    • Taeho Jo
    • Springer
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    Towards Next-Generation AI
    • Springer
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    Advances in Learning Analytics
    • Springer
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    Effective Machine Learning Inspired by the Agile Manifesto
    • Eric Carter; Matthew Hurst
    • Apress
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