the preliminary weighted population mean consumption data from the Hong Kong Population-Based Food Consumption [...] cfs.gov.hk 根據香港市 民食物消費量調查的初步加權平均消 費量 數據,市民每天從膳食( 不包 括酒精飲品) 攝入氨基甲酸乙酯的分量估計為每公斤體重 5.42 納克,每 天從所有食...
Despite having no significant genes (p < 0.01), the mean expression change of the genes in the glycosphingolipid biosynthesis--globo series pathway was over 3-fold; specific values for significance and fold-change for the genes in this pathway are shown in Table 5. The glycosphingolipid ...
In this paper, we formulate a novel Point-of-interest (POI) recommendation task to recommend a set of new POIs for visit in a short period following recent
Multi-label classification is a challenging problem that has attracted significant attention from researchers, particularly in the domain of image and text attribute annotation. However, multi-label datasets are prone to serious intra-class and inter-class imbalance problems, which can significantly degrad...
A main disadvantage of this formula is that it can be possibly negative, which has been discussed in (25). This happens when a term appears in more than half of the documents. Thus, we choose to floor the IDF values to 0. 4 Experiments 4.1 Experimental Protocol To assess the relevance ...
An R2 value of 1 indicates perfect alignment between the predicted and true values, while R2 = 0 indicates that all of the predicted values are equal to the mean of the true values. Values below zero indicate no correlation. The calculation formula is as follows:(17)R2=1−∑iyî−...
You may prefer to use the contrast command because, in addition to the joint test, you can perform other tests such as comparisons of each region's mean to the grand mean; see [R] contrast for more information. regress also accepts frequency weights (fweights). Frequency weights are ...
mean-field algorithm run on conventional GPU (orange). Dashed lines represent log-linear fits to the respective data. In the case of the coupled oscillator simulation, the fit was determined using the last 8 data points. Full size image Conclusion In summary we demonstrate the simulation, ...
In the context of object detection, research on this problem has also been going on for a long time. The methods mainly include (1) hard sampling methods, such as random sampling and online hard example mining [7]; (2) soft sampling methods, such as focal loss [6] and gradient ...
(S2/MSI) sensor and Landsat 8/Operational Land Imager (L8/OLI) sensor time series, Cheng and Wang (2019) compared the TWDTW with Random Forest (RF) and Support Vector Machine (SVM) based classifications in mountain forest-types of southern China, with TWDTW performing best (mean OA of ...