MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

BEIJING, Oct. 23, 2025––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram ...
Nature

Error-Correcting Output Codes in Multi-Class Classification

Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By constructing a codematrix that assigns each ...
JSTOR Daily

A parallel inertial S-iteration forward-backward algorithm for regression and classification problems

In this paper, a novel algorithm, called parallel inertial S-iteration forward-backward algorithm (PISFBA) is proposed for finding a common fixed point of a countable family of nonexpansive mappings ...
Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

The goal of a binary classification problem is to predict an output value that can be one of just two possible discrete values, such as "male" or "female." This article is the first in a series of ...
Visual Studio Magazine

Binary Classification Using PyTorch: Defining a Network

Dr. James McCaffrey of Microsoft Research tackles how to define a network in the second of a series of four articles that present a complete end-to-end production-quality example of binary ...