Search Results for author: Akihiro Yamamoto

Found 5 papers, 3 papers with code

BERT4FCA: A Method for Bipartite Link Prediction using Formal Concept Analysis and BERT

no code implementations13 Feb 2024 Siqi Peng, Hongyuan Yang, Akihiro Yamamoto

Recent research has found that in bipartite networks, maximal bi-cliques provide important information for link prediction, and they can be extracted by FCA.

Link Prediction

Differentiable Inductive Logic Programming for Structured Examples

1 code implementation2 Mar 2021 Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto

Our framework can be scaled to deal with complex programs that consist of several clauses with function symbols.

Inductive logic programming

Metric Learning for Ordered Labeled Trees with pq-grams

1 code implementation9 Mar 2020 Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto

In order to perform metric learning based on pq-grams, we propose a new differentiable parameterized distance, weighted pq-gram distance.

General Classification Metric Learning

Automatic Source Code Summarization with Extended Tree-LSTM

1 code implementation19 Jun 2019 Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto, Atsushi Miyamoto, Tadayuki Matsumura

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.

Code Summarization Machine Translation +2

Causal Discovery in a Binary Exclusive-or Skew Acyclic Model: BExSAM

no code implementations22 Jan 2014 Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara

Discovering causal relations among observed variables in a given data set is a major objective in studies of statistics and artificial intelligence.

Causal Discovery

Cannot find the paper you are looking for? You can Submit a new open access paper.