Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Researchers demonstrate a novel optical extreme learning machine using laser light in fibers, achieving over 91% accuracy in ...

Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms. This was demonstrated on a photonic quantum processor by an ...

The deep learning framework and machine learning framework used for the experiments ... The farthest point sampling (FPS) in the MLP-based deep learning algorithm is a downsampling method based on an ...

Additionally, we compared the predictive performance of eight machine learning (ML) algorithms regarding mortality risk and ... elastic net regression (Enet), multi-layer perceptron (MLP), logistic ...

Abstract: Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert). Many ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...