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The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional (UHD) setup is not well unders...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional(UHD) setup is not well underst...
We propose here a novel method of factor profiling (FP) for ultra high dimen-sional variable selection. The new method assumes that the correlation structure of the high dimensional data can be well r...
The aim of this work was to evaluate the effects of pasteurization and ultra-high temperature processes on proximate and physicochemical composition, microbiological parameters and fatty acid profile ...
The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is big...
The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is big...
The feasibility of metabolomic fingerprinting approach based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-QTOFMS) was studied to assess its abilit...
We propose a novel approach, Sequential Lasso, for feature selection in linear regression models with ultra-high dimensional feature spaces.
In many conventional scientific investigations with high or ultra-high dimensional feature spaces, the relevant features, though sparse, are large in number compared with classical statistical problem...
In data sets with many more features than observations, independent screening based on all univariate regression models leads to a computationally convenient variable selection method. Recent effort...
The effect of mass flow rate on product temperature and residence time were studied in a helically coiled, indirectly steam-heated, vertical flow, laboratory Ultra High Temperature (UHT) system equipp...
A detailed analysis of correlation between stock returns at high frequency is compared with simple models of random walks. We focus in particular on the dependence of correlations on time scales - th...
Milk was concentrated by pressure-driven filtration (UF or reverse osmosis) to 9.5, 15, 18, or 20% TS and then sterilized by UHT processing to 140°C for 4 s using plate heat exchangers. Following ster...
To examine residual lipase activities in UHT-processed milk samples, two protein isolates were prepared, one from aqueous supernatant and the other from milk fat globule membrane. Results of DEAE-cell...
With UHT-sterilized milk as a model system, combinations of polyphosphate (.5 and 1.0%) and NaCl (.5 and 4.5%) were studied to determine their effects on the growth kinetics of Listeria monocytogenes ...

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