ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

Probabilistic Ising machines (PIMs) are advanced and specialized computing systems that could tackle computationally hard problems, such as optimization or integer factorization tasks, more ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

Ghent University, Department of Solid State Sciences, Krijgslaan 281 S1, 9000 Ghent, Belgium ...

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

A percent chance of precipitation shows the probability there will be at least 0.01 inch of rain, snow or sleet at a given location. When you purchase through links on our site, we may earn an ...

We present a method for measurement analyses based on probabilistic deep neural networks that provide several advantages over conventional analyses with phenomenological models. These include ...

In the dynamic world of project management, effectively assessing and managing risks is crucial for successful project outcomes. Many project managers often feel overwhelmed by the complexity of risk ...

Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...

College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum, Qingdao 266580, China ...