Sentence examples for evolution graph from inspiring English sources
edges of an evolution graph.
The cluster evolution graph ({mathcal {G}}) is learned over each bootstrap sample.
It builds a cluster evolution graph that captures the transitions of patient clusters before (PRE) to after treatment (POST).
In this study, a methodology involving a Domino Evolution Graph (DEG) model and a Minimum Evolution Time (MET) algorithm is proposed to model the spatial-temporal evolution of domino accidents.
Once the cluster evolution graph has been constructed, our methods EvolutionPred and EvoLabelPred use the clusters and their transitions to project each patient to a future moment, and predict their recovery label, respectively.
It learns a clustering model over the individual timepoints (i.e. (t_{rm pre}) and (t_{rm post })), and then learns a cluster-based transition model, the "cluster evolution graph", by discovering transitions or relationships between the clusters across timepoints.
Besides, different from simulation or Bayesian approaches, our methodology can quickly provide evolution graphs (paths), the evolution time and the corresponding probability given a primary scenario.
Many themes can be active at an interval of time, and a theme evolution graphs has been represented with arcs connecting a theme to another across the time intervals [82].
As outcome, different types of results are generated: dissatisfaction rankings, SatiX/attributes/metrics maps at cell and administrative area level, temporal evolution graphs showing how satisfaction, or metrics evolved after a certain update in the network, etc.
Mass evolution graphs [9] of calling behavior by each bird confirm earlier anecdotal observations [10] that zebra finches nearly continually produce these short-range signals during the day (Figure 1B).
DOI: http://dx.doi.org/10.7554/eLife.09207.007 10.7554/eLiFigure07.008 Figure 1 figure supplement 5. Evolution graphs built from prostate cancer sequencing data.
