Results 81 to 90 of about 9,222 (301)

Data Assimilation in High Dimensional Systems Using Local Particle Filters: Overcoming the curse of dimensionality in hydrology

, 2021
Z. Wang
openalex   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

Energy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga, Praveen Kumar Balachandran, Umawathy Techanamurthy, Muhammad Ammirrul Atiqi Mohd Zainuri   +3 more
wiley   +1 more source

Ontology Driven Feature Engineering for Opinion Mining

IEEE Access, 2019
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui, M. Abdul Rehman, Sher Muhammad Doudpota, Ahmad Waqas   +3 more
doaj   +1 more source

Threshold MIDAS Forecasting of Canadian Inflation Rate

Journal of Forecasting, EarlyView.
ABSTRACT We propose several threshold mixed data sampling (TMIDAS) autoregressive models to forecast the Canadian inflation rate using predictors observed at different frequencies. These models take two low‐frequency variables and a high‐frequency index as threshold variables.
Chaoyi Chen, Yiguo Sun, Yao Rao
wiley   +1 more source

Scalable Deep Multi-Agent Reinforcement Learning via Observation Embedding and Parameter Noise

IEEE Access, 2019
In this paper, we explore a scalable deep reinforcement learning (DRL) method for environments with multi-agents. Due to the explosive increase of the input dimensionality with the number of agents, most existing DRL methods are only able to cope with ...
Jian Zhang, Yaozong Pan, Haitao Yang, Yuqiang Fang   +3 more
doaj   +1 more source

A training strategy for hybrid models to break the curse of dimensionality. [PDF]

PLoS One, 2022
E Samadi M, Kiefer S, Fritsch SJ, Bickenbach J, Schuppert A.   +4 more
europepmc   +1 more source

A splitting method for overcoming the curse of dimensionality in Hamilton–Jacobi equations arising from nonlinear optimal control and differential games with applications to trajectory generation [PDF]

, 2018
A. T. Lin, Yat Tin Chow, Stanley Osher
openalex   +1 more source

Forecasting With Machine Learning Shadow‐Rate VARs

Journal of Forecasting, EarlyView.
ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley   +1 more source

Supervised Clustering of Persian Handwritten Images [PDF]

Journal of Sciences, Islamic Republic of Iran
Clustering, a fundamental multivariate statistical method, serves as a valuable tool for extracting meaningful insights from complex datasets. Analyzing high-dimensional data, however, presents challenges, notably the curse of dimensionality.
Sajedeh Moradnia, Mousa Golalizadeh
doaj   +1 more source

Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis. [PDF]

Life Sci Alliance, 2022
Imoto Y, Nakamura T, Escolar EG, Yoshiwaki M, Kojima Y, Yabuta Y, Katou Y, Yamamoto T, Hiraoka Y, Saitou M.   +9 more
europepmc   +1 more source