Common use of Aggregator Clause in Contracts

Aggregator. Combines the encoded representations of the two node arguments into a single vector, and is invariant to the order of its two arguments (e.g., the “sum” operation). The last L U L U L U Train the agreement model g using L Train classification model f using labeled nodes in L and predictions of g on edges between L-L nodes, L-U nodes and U-U nodes Extend L using the most confident predictions of f on unlabeled nodes from U Figure 3: Overview of the three main steps in each iteration of the proposed co-training algorithm. condition represents a meaningful and valid inductive bias for the agreement model; namely that the order in which nodes are presented should not influence their probability of agreement.

Aggregator. Combines the encoded representations of the two node arguments into a single vector, and is invariant to the order of its two arguments (e.g., the “sum” operation). The last L U L U L U Train the agreement model g using L Train classification model f using labeled nodes in L and predictions of g on edges between L-L nodes, L-U nodes and U-U nodes Extend L using the most confident predictions of f on unlabeled nodes from U Figure 3: Overview of the three main steps in each iteration of the proposed co-training algorithm. condition represents a meaningful and valid inductive bias for the agreement model; , namely that the order in which nodes are presented should not influence their probability of agreement.