Prime factorization is the process of breaking down a number into its prime factors. Prime factors are prime numbers that, when multiplied together, produce the original number. For 24, the prime ...

Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep representations poses a vast challenge on real ...

This repo was created to exemplify how to use two factorization methods on microbiome datasets. Also, to generate a Random Forest model from them. The codes of these examples were generated during my ...

Abstract: We introduce a versatile approach for Boolean factorization of binary data matrices based on a projected hierarchical alternating least squares method. The general model considered in this ...

Following that, we'll look at Probabilistic Matrix Factorization (PMF), which is a more sophisticated Bayesian method for predicting preferences. Having detailed the PMF model, we'll use PyMC for MAP ...

Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...