most citedEvaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data

3 citations · 3 across the 1 of their papers we have counts for

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cs.LG2019★ 3 cited

Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data

Matthew Wai Heng Chung, Hegler Tissot

Learning knowledge representation is an increasingly important technology that supports a variety of machine learning related applications. However, the choice of hyperparameters i…