Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
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Updated
Jan 8, 2019 - Jupyter Notebook
Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
Forward A* and Adaptive A* for navigation in partially known environments
Adaptable generative prediction using recursive least square algorithm
(CUMCM2018)Adaptive genetic algorithm based on improved harmony algorithm
Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)
Python package for executing optimization algorithm.
Sequential Monte Carlo algorithm for approximation of posterior distributions.
An extension of T-IFISS to diffusion problems with random inputs
[IEEE ICASSP 2021] "A fast randomized adaptive CP decomposition for streaming tensors". In 46th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2021.
MATLAB toolbox for computing adaptive stochastic collocation finite element approximations for elliptic PDEs with random inputs
[Patterns 2023] Tracking Online Low-Rank Approximations of Higher-Order Incomplete Streaming Tensors. In Patterns (Cell Press) 2023.
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