Results 111 to 120 of about 274,981 (281)

Thalamic connectivity mirrors spatial maps of network dysfunction in nonlesional focal epilepsy

Epilepsia, EarlyView.
Abstract Objective Focal epilepsy is increasingly conceptualized as a network disorder, yet the extent to which network dysfunction reflects a shared phenotype remains unknown. Spatially conserved patterns of network dysfunction may implicate a centralized mechanism underlying widespread impairment.
Joline M. Fan, Ehsan Tadayon, Kiwamu Kudo, Kamalini G. Ranasinghe, Anne M. Findlay, Robert C. Knowlton, Vikram R. Rao, Srikantan S. Nagarajan   +7 more
wiley   +1 more source

Blood cancer diagnosis using ensemble learning based on a random subspace method in laser-induced breakdown spectroscopy. [PDF]

Biomed Opt Express, 2020
Chu Y, Chen F, Sheng Z, Zhang D, Zhang S, Wang W, Jin H, Qi J, Guo L.   +8 more
europepmc   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

Masked Subspace Clustering Methods

To further utilize the unsupervised features and pairwise information, we propose a general Bilevel Clustering Optimization (BCO) framework to improve the performance of clustering. And then we introduce three special cases on subspace clustering with two different types of masks.
Jiebo Song, Huaming Ling
openaire   +2 more sources

Quadratic Hedging of American Options Under GARCH Models

Journal of Futures Markets, EarlyView.
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source

Structural Reliability Analysis Using Stochastic Finite Element Method Based on Krylov Subspace

Algorithms
The stochastic finite element method is an important tool for structural reliability analysis. In order to improve the calculation efficiency, a stochastic finite element method based on the Krylov subspace is proposed for the static reliability analysis
Jianyun Huang, Qiuwei Yang, Hongfei Cao, Jiwei Ma   +3 more
doaj   +1 more source

On data preprocessing for subspace methods

Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
In modern data analysis often the first step is to perform some data preprocessing, e.g. detrending or elimination of periodic components of known period length. This is normally done using least squares regression. Only afterwards black box models are estimated using either pseudo-maximum-likelihood methods, prediction error methods or subspace ...
openaire   +4 more sources

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

Parameters estimation of vector-sensor array in colored noise based on quaternion-MUSIC

Tongxin xuebao, 2008
Parameters of vector-sensor array was estimated based on Hamilton quaternion. First,the theory and computa-tion method of right eigenvalue decomposition of Hamilton quaternion matrix was introduced in detail.
WANG Fei1, WANG Shu-xun2, ZHANG Kun-lei2
doaj   +2 more sources