Results 81 to 90 of about 77,553 (343)

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks [PDF]

Neural Networks, 2023
Zheyuan Hu, K. Shukla, G. Karniadakis, Kenji Kawaguchi   +3 more
semanticscholar   +1 more source

Understanding Youth Assaults of Police Officers in Australia: A Power Threat Meaning Framework Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas, Kelly Hine, Catherine Creamer, Kelley Burton, Katelyn Davenport‐Klunder   +4 more
wiley   +1 more source

Regression with Linear Factored Functions

, 2015
Many applications that use empirically estimated functions face a curse of dimensionality, because the integrals over most function classes must be approximated by sampling.
CM Bishop, I-C Yeh, J Gerritsma, JA Nelder, JH Friedman, L Csató, LP Kaelbling, ME Tipping, P Cortez, P Tüfekci, W Böhmer, W Böhmer, Z Wang   +12 more
core   +1 more source

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

Efficient Dynamics: Reduced‐Order Modeling of the Time‐Dependent Schrödinger Equation

Advanced Physics Research, EarlyView.
Reduced‐order modeling (ROM) approaches for the time‐dependent Schrödinger equation are investigated, highlighting their ability to simulate quantum dynamics efficiently. Proper Orthogonal Decomposition, Dynamic Mode Decomposition, and Reduced Basis Methods are compared across canonical systems and extended to higher dimensions.
Kolade M. Owolabi
wiley   +1 more source

Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems

Renmin Zhujiang, 2023
To alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction ...
CHEN Jia, ZHANG Hanjun, XU Nan
doaj  

Using machine learning to identify top predictors for nurses’ willingness to report medication errors

Array, 2020
This paper presents a novel methodology to analyze nurses’ willingness to report medication errors. Parallel Extreme Learning Machines were applied to identify the top interpersonal and organizational predictors and Self-Organizing Maps to create ...
Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse   +3 more
doaj   +1 more source

A Novel Feature Selection and Extraction Technique for Classification

, 2014
This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs). We use CDFs to improve the accuracy of classification and at the same time control computational expense by tackling the ...
Bakshi, Ainesh, Goel, Kratarth, Vohra, Raunaq   +2 more
core   +1 more source

The Conceptualization, Experience, and Recognition of Emotion in Autism: Differences in the Psychological Mechanisms Involved in Autistic and Non‐Autistic Emotion Recognition

Autism Research, EarlyView.
ABSTRACT Existing literature suggests that differences between autistic and non‐autistic people in emotion recognition might be related to differences in how these groups experience emotions themselves. Specifically, autistic individuals may show differences in the consistency of emotional experiences, the ability to distinguish between emotions, and ...
Connor Tom Keating, Carmen Kraaijkamp, Jennifer Louise Cook   +2 more
wiley   +1 more source

A projection and density estimation method for knowledge discovery. [PDF]

PLoS ONE, 2012
A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions.
Adam Stanski, Olaf Hellwich
doaj   +1 more source