Sentence examples for fully weighted from inspiring English sources
The three models of the Stage 2 are the HA-88, containing 88 fully weighted keys, the HA-76, containing 76 weighted keys, and the SW-73, containing 73 semi-weighted keys.
Unlike the other actors, my father insisted on wearing a fully weighted backpack throughout the entire shoot.
NextGen Climate spokesman Chris Lehane told HuffPost that Steyer's group would continue with this type of attack ad in 2016, describing it as "using the Kochs as a fully weighted oil drum that we tie to the Republican candidates and presidential candidate".
The piano tones were synthesized using a "stereo grand" piano timbre of a Yamaha S80, 88-note fully weighted keyboard, linked to a G4 Apple Macintosh computer (Mac OS 8.6).
These correlations may be interpreted as a fully connected, weighted graph, typically represented as a simpler discrete network by a process of edge removal based on the strength or significance of the correlations 92 (e.g. Fig. 1C).
Evaluating similarity for all pairs of samples in N (i.e., evaluating their weighted links) allows to generate a fully connected complex network.
We compared these to our fully connected, weighted network using a receiver operating characteristic (ROC) curve.
72 However, studying the evolution of such graphs is tricky – it depends on how the fully connected, weighted graph is simplified, which may involve arbitrary thresholds, or approaches such as minimal spanning trees (MSTs, Fig. 1C).
To facilitate the proof of this theorem, we build a fully connected weighted graph 𝒢 in which each node corresponds to a tree for integration, and the weight of each edge corresponds to the weight increase (initially, this is the cohesion score) for integrating the corresponding trees.
Given a fully connected, weighted network, let w x be the vector of similarity scores between x and all other nodes in the network; i.e. w x [ i]= S x, i), where S x, i) is the similarity between sequences x and i.
A characteristic book from each cluster is shown on the leaf nodes by sorting the books within each cluster by the total distance to other books in the cluster (e.g., considering each intra-cluster collection as a fully connected weighted network, we take the most central node), and in parenthesis the number of books in that cluster.
