Work

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.

Year: 2012

Type: article

Abstract: ). We briefly discuss ramifications in terms of learning bounds (Rademacher complexity).

Source: PubMed

Authors: Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C Johnson

Institutions: University of Wisconsin System, University of Wisconsin–Madison, University of Illinois Urbana-Champaign

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute on Aging, U.S. National Library of Medicine, National Center for Research Resources

Awards: AD classification algorithms using ADNI multi-modal image data, Maximizing Power in AD Clinical Trials via Multimodal Machine Learning, Institutional Clinical and Translational Science Award (UW-Madison)(TL1), Institutional Clinical and Translational Science Award (UW-Madison)(UL1), Institutional Clinical and Translational Science Award, Institutional Clinical and Translational Science Award (UW-Madison), The Effect of Calorie Restriction on Brain Aging, Institutional Clinical and Translational Science Award, Wisconsin Alzheimer's Disease Research Center, Institutional Clinical and Translational Science Award, Dietary Restriction and Aging in Rhesus Monkeys, The Longitudinal Course of Imaging Biomarkers in People At Risk for Alzheimer’s Disease, Computation and Informatics in Biology and Medicine, Wisconsin National Primate Research Center Support

OpenAlex ID: W2151449129

FWCI: 1.744

Cites: 32

Cited by: 20

Related to: 10