ML methods fail to identify mixed precipitation and sub-freezing rainfall events, while expressing their worst accuracy values from 1.0°C–2.5°C. A potential cause of these shortcomings is the air temperature o
The static partitioning requires developer support to annotate the remotely executable methods. Therefore, the static partitioning does not incorporate the conditions of the run-time environment during the partitioning decision. However, in the dynamic partitioning, a dynamic and adaptive decision engine ...
Using these information allocation processes, database tables are partitioned in two methods: single-level partitioning and composite partitioning. 1. Single-level Partitioning: Any data table is addressed by identifying one of the above data distribution methodologies, using one or more columns as the...
However, most of the current deep learning methods suffer from scalability problems for large-scale applications, forcing researchers or users to focus on small-scale problems with fewer parameters. In this paper, we consider a well-known machine learning model, deep belief networks (DBNs) that ...
Machine learning (ML) approaches that leverage non-linear models are highly powerful in fitting complex patterns in the data19,20,21,22 and can be applied to build algorithms of superior predictive power. Supervised ML methods focused on classification (e.g., effective versus ineffective) achieve...
Unlike methods relying on vertex ordering, FREIGHT aims to partition (hyper)graphs in a single pass without static or dynamic vertex reordering. An extended streaming model is the buffered streaming model. During execution, a buffer or batch of input vertices and their neighborhoods are repeatedly ...
Taxonomies for classifying children's partitioning strategies have generally focused on the contexts in which the strategies occur and whether the stra
All methods gave similar results with regards to the separation and stability of the cluster groups but disagree over the precise groups (Supplementary Table 5 and Supplementary Data 5). External validation metrics were used to assess how closely the cluster groups corresponded with broad and higher...
The sub-domain separation causes an increase in communication volume and communication partners [35]. To improve the strong scaling, it is desired to find other partitioning methods which can minimize the communication time [36–39]. Since AMR operations are not MPI parallelized, the time of AMR...
Therefore, it is necessary and interesting to propose novel methods on investigation of this issue. As already remarked hereinbefore, the ABC algorithm is recently the most popular swarm intelligent algorithm for numerical function optimization and clustering. However, the conventional ABC based ...