or even problems caused by the user. Maybe the application has a data paging functionality, but the user has opted to receive the entire 100,000 row DataSet every time, even though she has applied a sort which gives her the one row she needs first with each query. Regardless of the root...
Here's a run on the Perl dataset, with the block size set to 16 MiB to match the default of DwarFS, and with additional options suggested to speed up compression: $ time mkcromfs -f 16777216 -qq -e -r100000 install perl-install.cromfs Writing perl-install.cromfs... mkcromfs: Automat...
or even problems caused by the user. Maybe the application has a data paging functionality, but the user has opted to receive the entire 100,000 row DataSet every time, even though she has applied a sort which gives her the one row she needs first with each query. Regardless of the root...
grsecurity CVE-Dataset [spreadsheet]Syzkaller Coverage Dashboardkernel vulns missing stable backports [source]https://github.com/nccgroup/exploit_mitigationshttps://github.com/bsauce/kernel-security-learninghttps://github.com/hackedteamhttps://forums.grsecurity.net/viewforum.php?f=7https://github.com...
The Web service works well for mobile applications, as it can pass both ADO.NET objects—such as the DataSet—and custom entities. First, I create a Web service project and add a WebService called CustomerWebService. I add three methods to the WebService and decorate each with ...
Thus, future efforts should instead be focused on expanding the training dataset by progressively adding new inventories from more landslide events. Figure 6 Jackknife’s approach for training new CNNs on combined landslide inventories. Here, we rule out the possibility of a bad inventory bringing ...
Table 1 Dataset Samples. Full size table Figure 8 SNR values over the time. Full size image Figure 9 RSSI values over the time. Full size image Figure 10 CINR values over the time. Full size image Data analysis Analysis was done on our data to identify the relation between features and ...
The probability distribution space is valid for MI learning, both for the theoretical analysis and applications. Dataset: Breast tissue images available at https://bioimage.ucsb.edu/research/bio-segmentation, extracted feature vectors available at https://figshare.com/articles/MIProblems_A_repository_...
Unsupervised Learning (UL) is also known as class discovery. One of the main differences between UL and SL is that there is no training dataset in UL. As a consequence, there is no obvious role for cross validation [68]. Another important difference is that, although most clustering algorith...
(10%, 30%, or 50%) of features in the bad datasets with same amount features from good datasets (effect size > 0.5). This procedure can alter the variances of the substituted features and lead to a better grand effect sizes, indirectly reflecting the dataset quality. Because 10%, ...