Recent research has found that in bipartite networks, maximal bi-cliques provide important information for link prediction, and they can be extracted by FCA.
Our framework can be scaled to deal with complex programs that consist of several clauses with function symbols.
In order to perform metric learning based on pq-grams, we propose a new differentiable parameterized distance, weighted pq-gram distance.
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.
Discovering causal relations among observed variables in a given data set is a major objective in studies of statistics and artificial intelligence.