نتایج جستجو برای: kuo scheme with minimum mean bias error mbe
تعداد نتایج: 9490058 فیلتر نتایج به سال:
The convergence of variable-step L1 scheme is studied for the time-fractional molecular beam epitaxy (MBE) model with slope selection. A novel asymptotically compatible L2 norm error estimate established under a convergence-solvability-stability (CSS)-consistent time-step constraint. CSS-consistent condition means that maximum step-size limit required same order to solvability and stability (in...
High-ash Indian coals are primarily used as thermal coal in power plants and industries. Due to the presence of sulfur coal, flue gas is a major environmental concern. Conventional methods (Ultimate Analysis Coal) for content estimation time-consuming, relatively costly, destructive. In this study, Fourier-transform infrared (FTIR) spectroscopy has emerged promising alternative method rapid non...
Water vapor column (WVC) obtained by GOME-2 instrument (GDP-4.6 version) onboard MetOp-A satellite platform is compared against reference WVC values derived from GPS (Global Positioning System) instruments from 2007 to 2012 at 21 places located at Iberian Peninsula. The accuracy and precision of GOME-2 to estimate the WVC is studied for different Iberian Peninsula zones using the mean (MBE) and...
The problem of lossless fixed-rate streaming coding of discrete memoryless sources with side information at the decoder is studied. A random time-varying tree-code is used to sequentially bin strings and a Stack Algorithm with a variable bias uses the side information to give a delay-universal coding system for lossless source coding with side information. The scheme is shown to give exponentia...
The goal of acoustic Language Identification (LID) is to identify the language of spoken utterances. The described system is based on parallel Hidden Markov Model (HMM) phoneme recognizers. The standard approach for parameter learning of Hidden Markov Model parameters is Maximum Likelihood (ML) estimation which is not directly related to the classification error rate. Based on the Minimum Class...
in order to compare the precision of predictions of nrc (2001) and cncps models, 17 holstein fresh cows were assigned in a randomized complete block design to a balanced diet with nrc (2001) and cncps software. the predicted dmi, energy allowable milk and protein allowable milk by both models were compared with observed values. the precision of the predictions of models was evaluated by calcula...
The present study was carried out to evaluate three interpolation methods including weighted moving average (WMA) with the power of 2 and 3, Kriging and Cokriging methods. Data of 23 wells in Mazandaran province were collected in fall and spring 2006. Seven parameters including electrical conductivity (EC), pH, total dissolved solids (TDS), sodium adsorption ratio (SAR), total hardness (TH), ch...
Improved guided image fusion for magnetic resonance and computed tomography imaging is proposed. Existing guided filtering scheme uses Gaussian filter and two-level weight maps due to which the scheme has limited performance for images having noise. Different modifications in filter (based on linear minimum mean square error estimator) and weight maps (with different levels) are proposed to ove...
We investigate a hybrid of two styles of algorithms for deriving bounds for optimization tasks over graphical models: non-iterative message-passing schemes exploiting variable duplication to reduce cluster sizes (e.g. MBE) and iterative methods that re-parameterize the problem’s functions aiming to produce good bounds even if functions are processed independently (e.g. MPLP). In this work we co...
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