Purpose: Complements the MultiShardConnection and abstracts away the work of running a given command against multiple shards Notes: This class is NOT thread-safe. Since the Sync API internally invokes the async API, connections to shards with connection string property "context connection = true" ...
mathscinet math google scholar kupcov, l.p.: fundamental solutions of certain degenerate second-order parabolic equations. math. notes 31 , 283–289 (1982) google scholar lanconelli, e., pascucci, a., polidoro, s.: linear and nonlinear ultraparabolic equations of ...
Identity Parameter To construct, see NOTES section for INPUTOBJECT properties and create a hash table. 展开表 Type: IEducationIdentity Position: Named Default value: None Required: True Accept pipeline input: True Accept wildcard characters: False -PageSize Sets the page size of...
importance methods [8,11,15,16,17,32,38,41]. An explanation method that is tailored for a specific type or class of algorithm application is called model-specific. These methods utilise the internal structure of the model to provide an explanation. These methods [6,11,66,76,77] are tied...
However, the Jolt API notes that an unsubscribe has taken place, and a subsequent unsubscribe to the remaining event disables both event notification and unsolicited messages.If you want to stop unsolicited messages in your client application, you need to make sure that you have unsubscribed to ...
Consensus clustering (CC) has been adopted for unsupervised class discovery in many genomic studies. It calculates how frequently two samples are grouped together in repeated clustering runs and uses the resulting pairwise "consensus rates" for visual de
Classifying imbalanced data sets by a novel re-sample and cost-sensitive stacked generalization method Math. Probl Eng., 2018 (2) (2018), pp. 1-13, 10.1155/2018/5036710 Google Scholar Yang et al., 2007 X. Yang, Q. Song, Y. Wang A weighted support vector machine for data classification...
Versions Notes Abstract Multi-classifiers are widely applied in many practical problems. But the features that can significantly discriminate a certain class from others are often deleted in the feature selection process of multi-classifiers, which seriously decreases the generalization ability. This paper...
Versions Notes Abstract Supervised contrastive learning optimizes a loss that pushes together embeddings of points from the same class while pulling apart embeddings of points from different classes. Class collapse—when every point from the same class has the same embedding—minimizes this loss but lo...
Sets the text used for the help window in the class scene. Multiple lines in the notebox will be strung together. Use | for a line break. —And that’s all, folks!— Reply March 8, 2012@11:22 PM BTW, for the sake of anyone that’s wondering about this same question, the way I...