Results 251 to 260 of about 23,025 (301)
A Deterministic-Monte Carlo Hybrid Method for Time-Dependent Neutron Transport Problems
Justin M. Pounders, Farzad Rahnema
openalex +1 more source
Alternative Approaches for Estimating Highest‐Density Regions
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley +1 more source
Deep Learning-Based Multi-Lead ECG Reconstruction from Lead I with Metadata Integration and Uncertainty Estimation. [PDF]
Nakanishi R, Hirata A, Kubota Y.
europepmc +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
Order-disorder phase transitions of phosphorene and their application to adiabatic quantum computing. [PDF]
Gomrokizadeh I +3 more
europepmc +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Solving the many-electron Schrödinger equation with a transformer-based framework. [PDF]
Shang H, Guo C, Wu Y, Li Z, Yang J.
europepmc +1 more source
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
Quantum annealing enhanced Markov-Chain Monte Carlo. [PDF]
Arai S, Kadowaki T.
europepmc +1 more source

