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Required Matlab,Deep Learning Model freelancer for Manifold Learning and Graph Kernels job

Posted at - Aug 3, 2022

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Choose one graph kernel among

Shortest-path Kernel
Graphlet Kernel
Random Walk Kernel
Weisfeiler-Lehman Kernel
Choose one manifold learning technique among

Isomap
Diffusion Maps
Laplacian Eigenmaps
Local Linear Embedding
Compare the performance of an SVM trained on the given kernel, with or without the manifold learning step, on the following datasets:

PPI
Shock
Note: the datasets are contained in Matlab files. The variable G contains a vector of cells, one per graph. The entry am of each cell is the adjacency matrix of the graph. The variable labels, contains the class-labels of each graph.

About the recuiterMember since Mar 14, 2020 Omkumar Agarwal
from Tetovo, Macedonia

Skills & Expertise Required

Matlab Deep Learning Model 

Candidate shortlisted and hiredHiring open till - Sep 2, 2022

Work from Anywhere
40 hrs / week
Fixed Type
Remote Job
$31.32
Cost

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