OpenAlex
PricingAboutJobs
Log inGet started
Work

Large-scale adaptive semi-supervised learning via unified inductive and transductive model

HTML

Year: 2014
Type: conference-paper
Source: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
DOI: 10.1145/2623330.2623731
Authors: De Wang, Feiping Nie, Heng Huang
Institution: The University of Texas at Arlington
Language: English

Topic: Machine Learning and Algorithms
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation
Awards: III: Medium: Collaborative Research: Robust Large-Scale Electronic Medical Record Data Mining Framework to Conduct Risk Stratification for Personalized Intervention, III: Small: Collaborative Research: A Large-Scale Data Mining Framework for Genome-Wide Mapping of Multi-Modal Phenotypic Biomarkers and Outcome Prediction, SCH: EXP: Collaborative Research: Privacy-Preserving Framework for Publishing Electronic Healthcare Records
OpenAlex ID: W2044544672
FWCI: 2.946
Cites: 18
Cited by: 47
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms