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Found 5 papers, 3 papers with code
Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM
Discovering causal relations among observed variables in a given data set is a major objective in studies of statistics and artificial intelligence.
Automatic Source Code Summarization with Extended Tree-LSTM
Neural machine translation models are used to automatically generate a document from given source code since this can be regarded as a machine translation task.
Metric Learning for Ordered Labeled Trees with pq-grams
In order to perform metric learning based on pq-grams, we propose a new differentiable parameterized distance, weighted pq-gram distance.
Differentiable Inductive Logic Programming for Structured Examples
Our framework can be scaled to deal with complex programs that consist of several clauses with function symbols.
BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT
Recent research has found that in bipartite networks, maximal bi-cliques provide important information for link prediction, and they can be extracted by FCA.
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