Results 11 to 20 of about 1,373,260 (211)

Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model

open access: yesIOP Conference Series: Materials Science and Engineering, 2018
Most existing Collaborative Filtering (CF) algorithms predict a rating as the preference of an active user toward a given item, which is always a decimal fraction. Meanwhile, the actual ratings in most data sets are integers.
Weijie Wang, Yanmin Lu
semanticscholar   +3 more sources

A Comparison of Root Mean Square Errors on Skeletonization Methods [PDF]

open access: yesInternational Journal of Applied Physics and Mathematics, 2012
Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs, scanned images.
Neeti Daryal, Vinod Kumar
openaire   +2 more sources

Evaluation of the root mean square error performance of the PAST-Consensus algorithm

open access: yes2010 International ITG Workshop on Smart Antennas (WSA), 2010
In previous work, we developed and investigated a distributed Projection Approximation Subspace Tracking Algo- rithm (PAST-Consensus) based on Consensus Propagation for wireless sensor networks. Preliminary simulation results showing a good tracking capability and still reduced complexity, have motivated us to evaluate the performance of the ...
Reyes, Carolina   +3 more
openaire   +3 more sources

Relationshio between Root Mean Square Error and Probable Error.

open access: yesJournal of the Japan society of photogrammetry and remote sensing, 1994
The relationship between Root Mean Square (RMS) error and probable error was investigated under the condition of normal distribution with independent x, y and z error components. In the ideal case of no bias and equal standard deviations (in the case of two or three dimensions), the ratios of 90% probable error to RMS error are 1.645 (one dimensional ...
Ryutaro TATEISHI, Chengang WEN
openaire   +3 more sources

Estimating root mean square errors in remotely sensed soil moisture over continental scale domains

open access: yesRemote Sensing of Environment, 2013
Root Mean Square Errors (RMSEs) in the soil moisture anomaly time series obtained from the Advanced Scatterometer (ASCAT) and the Advanced Microwave Scanning Radiometer (AMSR-E; using the Land Parameter Retrieval Model) are estimated over a continental ...
C. Draper   +5 more
semanticscholar   +3 more sources

Analysis of S-box in Image Encryption Using Root Mean Square Error Method

open access: yesZeitschrift für Naturforschung A, 2012
The use of substitution boxes (S-boxes) in encryption applications has proven to be an effective nonlinear component in creating confusion and randomness. The S-box is evolving and many variants appear in literature, which include advanced encryption standard (AES) S-box, affine power affine (APA) S-box, Skipjack S-box, Gray S-box, Lui J S-box, residue
Iqtadar Hussain   +3 more
openaire   +2 more sources

A novel extended Gumbel Type II model with statistical inference and Covid-19 applications

open access: yesResults in Physics, 2022
Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields.
Showkat Ahmad Lone   +3 more
doaj   +1 more source

Theoretical Structure and Applications of a Newly Enhanced Gumbel Type II Model

open access: yesMathematics, 2023
Statistical models are vital in data analysis, and researchers are always on the search for potential or the latest statistical models to fit data sets in a variety of domains. To create an improved statistical model, we used a T-X transformation and the
Showkat Ahmad Lone   +5 more
doaj   +1 more source

Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]

open access: yes, 2021
Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H.   +5 more
core   +1 more source

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