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Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.

, , и . ECML/PKDD (2), том 7524 из Lecture Notes in Computer Science, стр. 387-402. Springer, (2012)

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Katharina Morik

Katharina Morik

Martin Mörike

Werner Morik

Martin Mörike

 

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How to Tailor Representations to Different Requirements.. KR, стр. 650. Morgan Kaufmann, (1998)Applications of Knowledge Discovery.. IEA/AIE, том 3533 из Lecture Notes in Computer Science, стр. 1-5. Springer, (2005)Sloppy Modeling.. Knowledge Representation and Organization in Machine Learning, том 347 из Lecture Notes in Computer Science, стр. 107-134. Springer, (1987)The Representation Race - Preprocessing for Handling Time Phenomena.. ECML, том 1810 из Lecture Notes in Computer Science, стр. 4-19. Springer, (2000)Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting., и . DSAA, стр. 1-8. IEEE, (2021)Key Concepts in Machine Learning and Data Analysis., и . Mach. Learn. under Resour. Constraints Vol. 2 (2), De Gruyter, (2022)Online Analysis of High-Volume Data Streams in Astroparticle Physics., , , , , , и . ECML/PKDD (3), том 9286 из Lecture Notes in Computer Science, стр. 100-115. Springer, (2015)Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting., , и . ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 404-420. Springer, (2021)Musik und Informatik. Informatik-Spektrum, 28 (5): 361--361 (01.10.2005)Demand and Requirements for Natural Language Systems - Results of an Inquiry.. IJCAI, стр. 647-649. William Kaufmann, (1983)