This paper considers the problem of supervised learning with linear methods when both features and labels can be corrupted, either in the form of heavy tailed data and/or corrupted rows. We introduce a combination of coordinate gradient descent as a learning algorithm together with robust estimators...
Python Implementations of various numerical optimization methods, written in plain Java. gradient-descentnumerical-optimizationnumerical-analysisnewton-raphsoncoordinate-descenthooke-jeevesnelder-mead-simplex UpdatedOct 15, 2022 Java Workshop on the course "Computer decision support systems" at V. N. Karazin...
坐标下降法属于一种非梯度优化的方法,它在每步迭代中沿一个坐标的方向进行线性搜索(线性搜索是不需要求导数的),通过循环使用不同的坐标方法来达到目标函数的局部极小值。
No learning rate is needed by SDCA to determine step size as is required by various gradient descent methods. rx_fast_linear supports binary classification with three types of loss functions currently: Log loss, hinge loss, and smoothed hinge loss. Linear regression also supports with squared ...
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren In
The programming environment of the DCCAM-MRNet is Python 3.8.12, Pytorch 1.8.2, and CUDA 10.2. In this experiment, stochastic gradient descent was used to train the DCCAM-MRNet. The batch size of training samples was set to 32, and 8 for test samples. The learning rate Ir was set to...
First-order methods: gradient descent, proximal-point, and prox-gradient algorithms Operator splitting methods based on forward-backward, backward-forward, Douglas-Rachford, Peaceman-Rachford splittings (Block) coordinate update: cyclic, random, parallel Gauss-Seidel index rules Parallel and asynchronous ...
The SSRN network extracts spectral and spatial features through continuous spectral and spatial residual blocks, respectively, effectively alleviating the gradient descent phenomenon. Compared to traditional methods, it has shown significant improvement. Our proposed method further improves the accuracy by ...