It has emerged as a response to the challenge of interpreting predictions made by black box models, where the underlying mathematical functions are often highly complex and difficult to understand, even for AI experts. Deep neural networks, although highly effective in their performance when dealing ...
GraphXAI provides data loaders, data processing functions, visualizers, real-world graph datasets with ground-truth explanations, and evaluation metrics to benchmark the quality of GNN explanations. GraphXAI introduces a novel and flexible synthetic dataset generator called ShapeGGen to automatically ...
This benchmark may be used to test maximum data rate that is sustained in the network, it measures the bandwidth based on the transmission time of various-sized messages passed with non-blocking MPI functions [25]. iperf3 network speedtest tool Iperf3 is intended to measure the maximum ...
are used in place of p 1 and p 2 since each of the functions provides the probability of the membership of a given point in the corresponding segment, and in the special case of crisp segmentation, they provide 0 and 1. other norms have been used to measure the agreement between fuzzy ...
Barton, Evaluating an element of the clarke generalized jacobian of piecewise differentiable functions, in Recent Advances in Algorithmic Differentiation, S. Forth, P. Hovland, E. Phipps, J. Utke, and A. Walther, eds., Springer-Verlag, Berlin, 2012, pp. 115-125....
Device timing—the total elapsed time of executing OpenCL API functions on a GPU device.The results from both platforms are listed in the repository starting at Results on Platform 1.The results show that for most of these codes, performance across the Intel DPC++ Compatibility...
Gene annotation databases (compendiums maintained by the scientific community that describe the biological functions performed by individual genes) are commonly used to evaluate the functional properties of experimentally derived gene sets. Overlap statistics, such as Fishers Exact test (FET), are often ...
MathSciNet Google Scholar Vlachos IK, Sergiadis GD (2007) Intuitionistic fuzzy information: applications to pattern recognition. Pattern Recogn Lett 28:197–206 ADS Google Scholar Chen TY (2011) A comparative analysis of score functions for multiple criteria decision making in intuitionistic fuzzy ...
a Normal distribution with mean vector equal to \({\mathbf {0}}\) and a variance/covariance matrix that is estimated, together with the other parameters of the model, through methods based on the maximization of the likelihood or the restricted likelihood functions (Pinheiro and Bates 2000). ...
The force field was all-atom optimized potentials for liquid simulations (OPLS-AA) [37], and the parameters were created using PolyPerGen [38]. The functional functions and basis functions for structure optimization were performed using B3LYP/6-31 G*. Based on the optimized structure, the ...