TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Game Rant

Official Steam Deck Mod Support Is Coming From Nexus Mods

Nexus Mods has confirmed plans to bring native SteamOS support to its Vortex mod manager in 2026, a move that will significantly simplify modding on the Steam Deck and upcoming Steam Machine hardware.
IEEE

Unified Twin Support Vector Machines for Large-Scale Pattern Classification

Abstract: Over the years, researchers have proposed numerous Twin Support Vector Machines (TSVM) variants aimed at addressing diverse challenges. These variants encompass sparse TSVM models, robust ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...
LinkedIn

Getting Started with Support Vector Machines: Theory and Hands-On Applications

Continuing our machine learning (ML) journey, in this edition we’ll look into Support Vector Machine (SVM). SVM is a powerful and versatile ML model capable of performing both linear or nonlinear ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Nature

Intrusion detection system based on machine learning using least square support vector machine

Cyber security faces tremendous hurdles as a result of the rapid development and widespread adoption of technologies like 5G, IoT, cloud computing, and others that have increased network scale, ...
IEEE

Manifold Energy Projection Twin Support Vector Machine for Semi-Supervised Classification

Abstract: The Projection Twin Support Vector Machine (PTSVM) and its variant, the Least Squares PTSVM (LSPTSVM), have demonstrated significant effectiveness in supervised classification tasks due to ...
LinkedIn

A Deep Dive into Support Vector Machines (SVM): The Power of Precise Classification

In the ever-evolving field of machine learning, Support Vector Machines (SVM) have earned their place as one of the most reliable algorithms for classification and regression tasks. Known for their ...
Scientific Research Publishing

Guyon, I., Weston, J., Barnhill, S. and Vapnik, V. (2002) Gene Selection for Cancer Classification Using Support Vector Machines. Machine Learning, 46, 389-422.

ABSTRACT: In order to reduce the risk of non-performing loans, losses, and improve the loan approval efficiency, it is necessary to establish an intelligent loan risk and approval prediction system. A ...
Nature

An enhanced approach for predicting air pollution using quantum support vector machine

The essence of quantum machine learning is to optimize problem-solving by executing machine learning algorithms on quantum computers and exploiting potent laws such as superposition and entanglement.