Results 251 to 260 of about 332,624 (268)
Some of the next articles are maybe not open access.
Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE
2020Classification of web pages is the first step of web page ranking (or we can call it indexing), one of the most common ways to achieve indexing process is clustering that pages into groups as per the similarity, whenever the misclassification is less, the result will be perfect. Moreover, clustering is a collection of algorithms that dive the data into
Mohammed A. Ko’adan +2 more
openaire +1 more source
Bias And RMSE of Archimedean Copula using Moment And L-Moments Methods
2020 2nd International Conference on Mathematics and Information Technology (ICMIT), 2020In this paper we are concerned by a semiparametric estimation of Archimedean copulas models, two methods are mentioned, the method of moments and L-moments, recently developed by Brahimi et. al. (2012), Benatia et. al.(2012) whose advantage is to be valid even for nonexistent or infinite moments distributions.
Nesrine Idiou +2 more
openaire +1 more source
Is average RMSE appropriate for evaluating acoustic-to-articulatory inversion?
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019Acoustic-to-articulatory inversion has potential application in number of fields. For decades, average root mean square error and Pearson correlation coefficient are the most prevalent quantities adopted to evaluate the performance of acoustic-to-articulatory inversion.
openaire +1 more source
Quality Assessment of Speckle Patterns by Estimating RMSE
The primary objective of this proceeding is to properly assess the quality of speckle patterns utilized in digital image correlation (DIC). Since a good pattern should associate with a small measurement error, the overall error can be used to assess the quality of a speckle pattern.Yong Su, Qingchuan Zhang
openaire +1 more source
RMSE POWER COEFFICIENT OF WIND TURBINES WITH INVERSE TOQUE-SPEED CONTROL
ShodhKosh: Journal of Visual and Performing ArtsThe Blade Element Momentum (BEM) method stands out among various turbine modelling techniques due to its integration of airfoil aerodynamics with momentum theory, allowing detailed force calculations on blade elements. While traditional methods like BEM and Wake Models are efficient for initial turbine design, advancements in computational power have ...
Rishikesh Choudhary +2 more
openaire +1 more source
RMSE comparison of path loss models for UHF/VHF bands in India
2014 IEEE REGION 10 SYMPOSIUM, 2014This paper describes a study on path loss variation in UHF/VHF bands in India from a root mean square error perspective. The aim of this study is to compare existing propagation path loss models in various parts of India. We calculate average root mean square error (RMSE) between measured path loss and those predicted by the existing path loss models ...
Bolli Sridhar, Mohammed Zafar Ali Khan
openaire +1 more source
Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
Remote Sensing of Environment, 2003Abstract Multiple endmember spectral mixture analysis (MESMA) models mixed spectra as a linear combination of endmembers that are allowed to vary in number and type on a per pixel basis. For modeling an image using MESMA, a parsimonious set of endmembers is desirable for computational efficiency and operational simplicity.
Philip E. Dennison, Dar A. Roberts
openaire +1 more source
Multi-Layered Cardiac Arrhythmia Detection Using RMSE Method
2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023A Raja +3 more
openaire +1 more source
Canopy�K-means Combined Collaborative Filtering Using RMSE-minimization
2022 IEEE International Conference on Big Data and Smart Computing (BigComp), 2022Sao-I Kuan +3 more
openaire +1 more source
Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model
Fluctuation and Noise LettersThe intricacies and dynamism of financial markets pose challenges to models seeking to comprehensively capture the multitude of factors influencing stock price movements. As such, there remains room for improvement in forecasting accuracy. In response, we introduce a novel approach that unifies the Root Mean Square Error (RMSE), loss functions of Long
Mungara Kiran Kumar +5 more
openaire +1 more source