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Efficient Global String Kernel with Random Features: Beyond Counting Substructures

Year: 2019

Type: conference-paper

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/3292500.3330923

Authors: Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal

Institutions: IBM (United States), Carnegie Mellon University, IBM Research - Thomas J. Watson Research Center, George Mason University, Zhejiang University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W2951596818

FWCI: 0.864

Cites: 44

Cited by: 2

Related to: 10