IDReferencePropertyAttribute IEditableTextControl IExpressionsAccessor IExtenderControl IFilterResolutionService IHierarchicalDataSource IHierarchicalEnumerable IHierarchyData ImageClickEventArgs ImageClickEventHandler INamingContainer INavigateUIData IndexedString IParserAccessor IPostBackDataHandler IPostBackEventHandler IR...
Right, distribution of Q representations in deep RL agents constructed by arithmetic operation of the QSubtask functions predicts the cortical distribution of Q representations in mice (R2 = 1.0, ***P < 0.001, one-tailed bootstrap for positive correlations, error bars: s.d. of 1,000 ...
can still predict the cn reference with a maximum error of 0.44% compared to the cn reference computed by other models (supplementary table 2 ). therefore, our multimodal approach can be effectively applied to cancer cell lines for which karyotype information is largely unknown. defining the cn ...
To improve the accuracy of the reactive power sharing, reference [125] suggests an improved control strategy. The reactive power-control error is estimated by injecting small active-power disturbances activated by low-bandwidth synchronization signals sent from the central controller. Furthermore, a slo...
Thus, for increasing \varepsilon, having low error eventually equals having few inter-block pairs. As a result, large \varepsilon will lead to clusterings where as many elements as possible are placed in one block, since this is the most effective method for reducing the number of inter-...
To view details of the object, you must click it to open the sidebar Error! Reference source not found.). To view a router or a ONE in the network map, hover the mouse over the object (Error! Reference source not found.). ...
which is again in line with results in NT31,33. In ASD compared to NT, there was a stronger correlation between mid-level prediction errors and activity levels in the putamen, a region encoding prediction errors41,61. A plausible interpretation could be a higher weight of mid-level prediction...
The discretization significantly simplifies the swarm’s navigation, error correction, and coordination. The component composition is supported by an algorithm to compile the building blocks into swarms and plan the optimal construction path. Our approach challenges the convention that larger constructions ...
1 & 2. b, d (top) Sum of squared error (SSE) maps between experimental and simulated length histograms, the latter simulated using various kp (a diffusion-related constant) and α (a size-dependent factor) values, to fit the experimental data at different conditions (600 mM KCl in pH...
reference-based super-resolutionhierarchical similarity mappingMulti-reference super-resolution is proposed based on hierarchical similarity mapping.An adaptive transfer module is used for aggregating the similarity in multiple Ref- features.Our Multi-Ref SR model outperforms single image SR and single ...