Work

Convex formulation of multiple instance learning from positive and unlabeled bags

Year: 2018

Type: article

Source: Neural Networks

DOI: 10.1016/j.neunet.2018.05.001

Authors: Han Bao, Tomoya Sakai, Issei Sato, Masashi Sugiyama

Institutions: RIKEN, RIKEN Center for Advanced Intelligence Project, The University of Tokyo, International Research Center for Neurointelligence, The University of Tokyo

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Award: 二乗損失相互情報量を用いた実用的な機械学習手法の開発

OpenAlex ID: W2963121529

FWCI: 0.967

Cites: 38

Cited by: 25

Related to: 10