Zobrazeno 1 - 10
of 3 312
pro vyhledávání: '"FUJIWARA, Yasuhiro"'
We propose a meta-learning method for positive and unlabeled (PU) classification, which improves the performance of binary classifiers obtained from only PU data in unseen target tasks. PU learning is an important problem since PU data naturally aris
Externí odkaz:
http://arxiv.org/abs/2406.03680
Subgraph matching, which finds subgraphs isomorphic to a query, is the key to information retrieval from data represented as a graph. To avoid redundant exploration in the data, existing methods restrict the search space by extracting candidate verti
Externí odkaz:
http://arxiv.org/abs/2306.06557
Regularized discrete optimal transport (OT) is a powerful tool to measure the distance between two discrete distributions that have been constructed from data samples on two different domains. While it has a wide range of applications in machine lear
Externí odkaz:
http://arxiv.org/abs/2303.07597
With the continuing advances of sensing devices and IoT/Telecom applications, database systems need to process data ingestion queries that update the sensor data frequently. However, as the rate of data ingestion queries increases, existing protocols
Externí odkaz:
http://arxiv.org/abs/2301.10440
Autor:
Sawada, Akinari, Imai, Takumi, Ihara, Yasutaka, Tanaka, Fumio, Hirano, Ikuo, Fujiwara, Yasuhiro
Publikováno v:
In Clinical Gastroenterology and Hepatology October 2024 22(10):2023-2032
Autor:
Chiba, Yohei, Kojima, Yuki, Yazaki, Shu, Yoshida, Hiroshi, Takamizawa, Shigemasa, Kitadai, Rui, Saito, Ayumi, Okuma, Hitomi Sumiyoshi, Nishikawa, Tadaaki, Shimoi, Tatsunori, Sudo, Kazuki, Noguchi, Emi, Uno, Masaya, Ishikawa, Mitsuya, Kato, Tomoyasu, Fujiwara, Yasuhiro, Yonemori, Kan
Publikováno v:
In Gynecologic Oncology August 2024 187:51-57
Autor:
Kapil, Gaurav, Fujiwara, Yasuhiro, Bi, Huan, Baranwal, Ajay Kumar, Sahamir, Shahrir Razey, Liu, Jiaqi, Wang, Liang, Hirotani, Daisuke, Shen, Qing, Segawa, Hiroshi, Hayase, Shuzi
Publikováno v:
In Cell Reports Physical Science 17 July 2024 5(7)
We propose a few-shot learning method for unsupervised feature selection, which is a task to select a subset of relevant features in unlabeled data. Existing methods usually require many instances for feature selection. However, sufficient instances
Externí odkaz:
http://arxiv.org/abs/2107.00816
The ratio of two probability densities, called a density-ratio, is a vital quantity in machine learning. In particular, a relative density-ratio, which is a bounded extension of the density-ratio, has received much attention due to its stability and
Externí odkaz:
http://arxiv.org/abs/2107.00801
Subgraph matching is a compute-intensive problem that asks to enumerate all the isomorphic embeddings of a query graph within a data graph. This problem is generally solved with backtracking, which recursively evolves every possible partial embedding
Externí odkaz:
http://arxiv.org/abs/2012.14420