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Frontiers5y
Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review
Recently, there has been rising attention in using machine‐learning (ML) techniques ... Our aim was to provide a systematic review according to the PRISMA statement of Support Vector Machine (SVM) ...
University of Toronto5y
U of T, Vector Institute woo rising stars in machine learning field
The University of Toronto and the affiliated Vector Institute for Artificial Intelligence have announced the recruitment of two rising stars in machine learning research as ... its world-leading AI ...
Frontiers1y
The application of weighted gene co-expression network analysis and support vector machine learning in the screening of Parkinson’s disease biomarkers and construction of ...
This study was the first to utilize a combination of WGCNA and Support Vector Machine (SVM) to screen biomarkers and construct a diagnostic model for Parkinson's disease using multiple Parkinson's GEO ...
IEEE2y
Machine Learning Technique Based Multi-Level Optimization Design of a Dual-Stator Flux Modulated Machine With Dual-PM Excitation
In addition, the proposed MLT-MLO method combines the support vector machine regression (SVR ... The topology of DS-FMDPMM and the flowchart of the proposed MLT-MLO method are introduced first. Then, ...
MIT Technology Review6y
What is AI? We drew you a flowchart to work it out
As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning ... drew you this flowchart on the ...