In particular, we aim for an algorithm that becomes equal to the known optimal algorithms for the dense matrix multiplication in the case of a sparse matrix with 100% occupation. In particular, all-to-all communication is avoided in that case, too. Furthermore, a cache-oblivious strategy is...
The use of machine learning algorithms associated with spectral features such as MFCC and MFSC has recently attracted the attention of researchers in the development of fault diagnosis methodologies, particularly in the machinery industry area [56,57,58,59,60,61,62,63,64,65,66,67,68]. Regarding...
Demeulenaere, J., Hartert, R., Lecoutre, C., Perez, G., Perron, L., R麓egin, J., Schaus, P.: Compact-table: Efficiently filtering table constraints with reversible sparse bit-sets. In: Rueher, M. (ed.) Principles and Practice of Constraint Pro- gramming (CP 2016). LNCS, ...
aFigure 5 shows effects of different algorithms on Coverage Percentage (CP). It is the price for the prolonged lifetime of WSN when Hexagon-grid algorithm is carried out since less sensor nodes will be on. However, the price is worthwhile especially when WSN is sparse (Given the fact that...
Selection between different BN structure learning algorithms can be done via k-fold cross-validation akin to conventional supervised learning10. That means the overall data is randomly split into k (here: k = 10) folds, and the BN structure together with its parameters successively learned fr...
Demeulenaere, J., Hartert, R., Lecoutre, C., Perez, G., Perron, L., R麓egin, J., Schaus, P.: Compact-table: Efficiently filtering table constraints with reversible sparse bit-sets. In: Rueher, M. (ed.) Principles and Practice of Constraint Pro- gramming (CP 2016). LNCS, ...
From Table 1, we can see that below the REs of inverted impedance model by CSI. the REs of inverted impedance model by L2,0-MI are From estimate the the test results of 2D numerical model, we can see that, compared to vertical variation features, but also improve the lateral ...
Codebooks design and receiver algorithms are the main performance constraints in a SCMA system [3,4,5]. On the receiver side, Successive Interference Cancellation (SIC) [6] is used to distinguish users information (Multi-User Decoding, MUD [7]). SIC relies on Message Passing Algorithm (MPA)...
Variational inference algorithms have similar update procedures. They require parameter updates for the additional multinomial distributions over the auxiliary latent counts.Footnote 2 In Eqs. 2 and 3, the latent variables (i.e. \(\{(z_{vk}, z_{tk}, c_{uvt,k})\}_{(v,t)\in {\mathca...
Table 1. Algorithm improvement before and after the value comparison table. 4.7. Standard Dataset Experimental Results and Discussion This section shows the experimental results of the eight fusion algorithms on the Pavia University dataset and the Indian Pines dataset. The experimental results include...