IEEE

Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...
GitHub

LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

This repository contains the C++ source code for the LinearPartition project, the first linear-time partition function and base pair probabilities calculation algorithm/software for RNA secondary ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Hosted on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
IEEE

Application-Specific Processor for Piecewise Linear Functions Computation

Abstract: This paper presents an application specific processor architecture for the calculation of simplicial piecewise linear functions of up to six dimensions with 24-bit wide input words. The ...