/GATE-Computer-Science-Compendium/ │── DSA/ # Data Structures and Algorithms Notes & PYQs │── OS/ # Operating Systems Notes & PYQs │── CN/ # Computer Networks Notes & PYQs │── DBMS/ # Database Management Systems Notes & PYQs │── TOC/ # Theory of Computation Notes &...
and with new tools such as these algorithms to work with this data—tools that can be run on inexpensive, scalable clusters faster than typical Hadoop MapReduce jobs—there are a lot of great possibilities.
65 and text production,25 Information-demand rating (IDR),359,360 Information-seeking behavior,352–354 In-house printing,65 Instructional texts, (see also Manuals) abstraction level,151 algorithms,151 analogies,151,200 armed forces,319–320 audience appropriateness,172–175 audio and visual ...
(2019) suggested two voice recognition algorithms based on CNN to improve speech accuracy. A dynamic adaptive pooling (DA-pooling) algorithm is suggested for the CNN model's pooling layer. In a full-connected layer, a dropout strategy based on sparseness is presented to overcome standard dropout...
functions. InFigure 2.23, we sketched a schema that described an Academic Records System. The diagram is reproduced below asFigure 4.1. Let us develop this sketch and discover the set of FDs needed to define a database. Part of the process is formal, and part depends upon the advice of ...
This method, which does not violate transitivity, is compatible with weighted and signed networks, forgoing the need to perform any thresholding. The introduction of more efficient algorithms, of reclustering frameworks, and the increased availability of high-performance computing, have made it ...
One of the greatest things about RDF and Linked Data technology is thegrowing amountof interesting data being made publicly available, and with new tools such as these algorithms to work with this data—tools that can be run on inexpensive, scalable clusters faster than typical Hadoop MapReduce ...
Hence, error rates of automatic deepfake detection algorithms are high. Lower error rates could be obtained by utilizing subject-specific (also referred to herein as “person-specific”) deepfake detection models. However, these subject-specific deepfake detection models should be trained on large ...
Although the algorithms and methods used in this case were efficient at handling solitary PVC beats in a given window, in each of the three instances of false negatives the majority of the waveform was composed of PVC beats. These beats caused lengthy inconsistencies in the cardiac dynamics, ...
Using synthetic data, representing a range of block sizes and cluster structures, we investigate the accuracy of the estimated MS-SBM parameters as well as the validity of inference procedures based on the Wald, likelihood ratio and permutation tests. We show that the proposed multi-subject SBMs ...