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Subjects / keywords: Computer science; Artificial intelligence; Machine learning; Multiphysics; Inference; Artificial neural network; Physical law; Field (mathematics); Discretization; Kernel method; Deep learning; Theoretical computer scien...

Subjects / keywords: Partial differential equation; Nonlinear system; Artificial neural network; Context (archaeology); Inverse problem; Partial derivative; Computer science; Automatic differentiation; Applied mathematics; Physical law; Math...

"In agitated systems, the phase inversion (PI) phenomenon – the mechanism by which a dispersed phase becomes the continuous one – has been studied extensively in an empirical manner and few models have been put for...

Nowadays, the new technologies challenge the educational practices. When teachers face this new teaching and learning pattern they need to adopt a different attitude: of a mediator, in which one its main role is to exper...

Abstract The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 2,143 new measurements from 709 papers, we list, evaluate, and average measured properties of gauge bosons an...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics systems, learning molecular fingerprints, predicting protein interface, and classifying dis...

Since the classical molecular dynamics simulator LAMMPS was released as an open source code in 2004, it has become a widely-used tool for particle-based modeling of materials at length scales ranging from atomic to mesos...

The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whet...

Abstract This study examines the evidence for the effectiveness of active learning. It defines the common forms of active learning most relevant for engineering faculty and critically examines the core element of each me...

Recent ethnographic studies of workplace practices indicate that the ways people actually work usually differ fundamentally from the ways organizations describe that work in manuals, training programs, organizational cha...

Ch. Argyris, D. A. Schön, Organizational Learning: A Theory of Action Perspective, Reis: Revista Española de Investigaciones Sociológicas, No. 77/78, Monográfico sobre la Formación y las Organizaciones (Jan. - Jun.,...

Subjects / keywords: Sketch; Action (physics); Markov process; Markov decision process; Convergence (economics); Computer science; Q-learning; Simple (philosophy); Mathematical optimization; Dynamic programming; Artificial intelligence; Math...

Recurrent neural networks (RNNs) have been widely adopted in research areas concerned with sequential data, such as text, audio, and video. However, RNNs consisting of sigma cells or tanh cells are unable to learn the re...

Subjects / keywords: Mechanics; Stability (learning theory); Physics; Classical mechanics; Computer science; Machine learning

Aerosol and Surface Stability of SARS-CoV-2 In this research letter, investigators report on the stability of SARS-CoV-2 and SARS-CoV-1 under experimental conditions. The viability of the two virus...

Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Many anomaly detection techniques have been specifically developed for certain application domains...

The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that ar...

We demonstrate how by taking better account of electron correlations in the $3d$ shell of metal ions in nickel oxide it is possible to improve the description of both electron energy loss spectra and parameters character...

Subjects / keywords: Regret; Dilemma; Reinforcement learning; Logarithm; Mathematical optimization; Computer science; Mathematical economics; Action (physics); Bounded function; Simple (philosophy); Mathematics; Artificial intelligence

An exact stochastic simulation of the Schroedinger equation for charged bosons and fermions has been used to calculate the correlation energies, to locate the transitions to their respective crystal phases at zero temper...

Subjects / keywords: Representativeness heuristic; Heuristics; Class (philosophy); Computer science; Process (computing); Object (grammar); Event (particle physics); Value (mathematics); Artificial intelligence; Psychology; Machine learning;...

This article described three heuristics that are employed in making judgments under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A ...

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis...