Abstract: We present a method for decoding an arbitrary linear code over a Galois ring /spl Rscr/ by a process of lifting decoding algorithms for a family of linear codes over a finite field /spl Kscr ...

Linear Trees combine the learning ability of Decision Tree ... The module depends on NumPy, SciPy and Scikit-Learn (>=0.24.2). Python 3.6 or above is supported.

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form ... FORTRAN, Julia and Python. Find out more about HiGHS at https://www.highs.dev ...

Redeem codes in Something Boss Fights to unlock new classes without grinding. Hunting for working codes can absorb plenty of time, yet we have already gathered the current list, letting you switch ...

To get Banners, Companions, Boosts, and more in Something Evil Will Happen, redeem codes to help you last longer. Hunting for codes takes time, but we’ve already tracked them all down, so you can ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Abstract: A decoding rule is presented which minimizes the probability of symbol error over a time-discrete memory]ess channel for any linear error-correcting code ...

In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code behind the linear regression in python. Your Lane to ...