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Mixture Density Networks

. (1994)

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Nicholas Bishop

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Jörg Christopher

 

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A class of novel underactuated positioning systems for actuating/configuring the parallel manipulators., , , , и . Robotica, 40 (10): 3631-3650 (2022)Mixture Density Networks. (1994)A Universal Stiffening Sleeve Designed for All Types of Continuum Robot Systems., , , , , и . TAROS, том 12228 из Lecture Notes in Computer Science, стр. 15-24. Springer, (2020)Neural Networks., и . Computing Handbook, 3rd ed. (1), CRC Press, (2014)Pattern Recognition and Machine Learning. Springer-Verlag, New York, (2008)Nonobtuse triangulations of PSLGs.. CoRR, (2020)Curvature-driven smoothing: a learning algorithm for feedforward networks.. IEEE Trans. Neural Networks, 4 (5): 882-884 (1993)Embracing Uncertainty: Applied Machine Learning Comes of Age.. ECML/PKDD (1), том 6911 из Lecture Notes in Computer Science, стр. 4. Springer, (2011)Bayesian Inference of Noise Levels in Regression., и . ICANN, том 1112 из Lecture Notes in Computer Science, стр. 59-64. Springer, (1996)Optimal Angle Bounds for Quadrilateral Meshes.. Discret. Comput. Geom., 44 (2): 308-329 (2010)