Experimental results on AR and FERET face datasets show that ALRC outperforms several state-of-the-art approaches and demonstrates promising abilities against variations including expression, illumination and disguise. 展开 关键词: Face recognition Single sample per person (SSPP) Linear regression ...
Experimental results on AR and FERET face datasets show that ALRC outperforms several state-of-the-art approaches and demonstrates promising abilities against variations including expression, illumination and disguise.doi:10.1016/j.neucom.2013.02.004Biao Wang...
Learn how to create a random dataset, train a predictive model, create a live scenario, and inspect the model quality and related datasets in Oracle Analytics.
In essence, scMerge2 takes gene expression matrices from a collection of datasets and integrates them in a hierarchical manner. The final output of scMerge2 is a single adjusted expression matrix with all input data matrices merged and ready for downstream analysis. Fig. 1: Overview of scMerge...
fromsklearn.utils.fixesimportcsr_arrayfromsklearn.datasetsimportmake_regressionfromsklearn.linear_modelimportLinearRegressionfromsklearn.utils._testingimportassert_allcloseX,y=make_regression(100,100,random_state=42)X=csr_array(X)reg=LinearRegression(fit_intercept=True)reg.fit(X,y)coef1=reg.coef_reg...
However, although the fit of [Math Processing Error]β1 for some real datasets is indeed very close to 1, the majority of datasets we have tested demonstrate an estimated [Math Processing Error]β1 lower than 1 (Additional file 1: Fig. S1A). When inspecting the count distributions of ...
Fig. 6. Accuracy of UCI datasets. (a)–(h) The accuracy of 2moons, sonar, heart, breast, bupa, vote, wdbc, pima_indians, respectively. Overall experiment effects of SVM and LapSVM are worse than S4VMs. Both of them are about failure when the distribution of training samples is extreme...
The simulation also confirmed the conservative bias of unadjusted analyses due to the non-collapsibility of the odds ratio, the smaller variance of unadjusted estimates, and the bias of the odds ratio away from the null hypothesis in small datasets. Conclusions Sample-based adjustment yields similar...
from sklearn import datasets from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.svm import LinearSVC import matplotlib.pyplot as plt ...
2. Click on Example datasets installed with Stata. 3. Click on use for auto.dta. The result of this command is fourfold: • The following output appears in the large Results window: . sysuse auto (1978 automobile data) The output consists of a command and its result. The ...