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Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware., , , , , , , , , and 1 other author(s). CoRR, (2021)Associative synthesis of finite state automata model of a controlled object with hyperdimensional computing., , and . IECON, page 3276-3281. IEEE, (2017)Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing., , , and . ICMLA, page 370-375. IEEE, (2019)Fly-The-Bee: A Game Imitating Concept Learning in Bees., , , , and . BICA, volume 71 of Procedia Computer Science, page 25-30. Elsevier, (2015)Comparison of Machine Learning Techniques for Vehicle Classification Using Road Side Sensors., , , and . ITSC, page 572-577. IEEE, (2015)Perceptron Theory Can Predict the Accuracy of Neural Networks., , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (7): 9885-9899 (July 2024)Robust Methods for Automated Selection of Cardiac Signals After Blind Source Separation., , , , , and . IEEE Trans. Biomed. Eng., 65 (10): 2248-2258 (2018)Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing., , , , , and . Ershov Informatics Conference, volume 11964 of Lecture Notes in Computer Science, page 64-79. Springer, (2019)Computing with Residue Numbers in High-Dimensional Representation., , , , , , and . CoRR, (2023)Commentaries on "Learning Sensorimotor Control with Neuromorphic Sensors: Toward Hyperdimensional Active Perception" Science Robotics Vol 4 Issue 30 (2019) 1-10., , and . CoRR, (2020)