Investigating Sensitivity of Nonlinear Classifiers by Reducing Mean Square Error (MSE)
نویسندگان
چکیده
منابع مشابه
Adaptive scaled mean square error filtering by neural networks
An adaptive scaled mean square error (SMSE) filter using a Hopfield neural-network-based algorithm is presented. We show the development of the original SMSE filter from the minimum mean square error (MMSE) filter and the parametric mean square error (PMSE) filter, both of which suffer from the oversmooth phenomena. The SMSE filter is more efficient than the PMSE filter in terms of noise remova...
متن کاملStructural Content Laplacian Mean Square Error
Measurement of the quality of image compression is important for image processing application. In this paper, we propose an objective image quality assessment to measure the quality of gray scale compressed image, which is correlation well with subjective quality measurement (MOS) and least time taken. The new objective image quality measurement is developed from a few fundamental of objective ...
متن کاملOptimum thresholding using mean and conditional mean square error
We consider a univariate semimartingale model for (the logarithm of) an asset price, containing jumps having possibly infinite activity (IA). The nonparametric threshold estimator ˆ IV n of the integrated variance IV := ∫ T 0 σ sds proposed in [6] is constructed using observations on a discrete time grid, and precisely it sums up the squared increments of the process when they are under a thres...
متن کاملEstimation of population mean using mean square error by double sampling the non - respondents
In this paper, we have considered the problem of estimating the population mean of study character using mean square error by double sampling the non-respondents. Two generalized estimators for estimating the population mean using auxiliary character under two different cases are proposed. Further the problem has been extended to the wider classes of estimators, which include several generalize...
متن کاملEstimating Components of Mean Square Error for Mixed Mode Data Collection
Evidence-based management and development planning relies on official statistics. There are some obstacles that make it impossible to do single mode survey. These obstacles are sampling frame, time, the budget and accuracy of measurment of each mode. Always we can not use single mode survey becase of these factors. So we need to use other data collection method to overcome these obstacles. T...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Research Journal of Innovations in Engineering and Technology
سال: 2020
ISSN: 2581-3048
DOI: 10.47001/irjiet/2020.408006