A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.

Moore, Jason H; Shestov, Maksim; Schmitt, Peter; Olson, Randal S

Moore, Jason H; Shestov, Maksim; Schmitt, Peter; Olson, Randal S.

Affiliation

Moore JH; Institute for Biomedical Informatics, University of Pennsylvania, D202 Richards Building, 3700 Hamilton Walk, Philadelphia, PA 19104, USA, jhmoore@upenn.edu.

Pac Symp Biocomput ; 23: 259-267, 2018.

Article in En | MEDLINE | ID: mdl-29218887

Subject(s)

Machine Learning; Algorithms; Artificial Intelligence; Computational Biology/methods; Computer Simulation; Databases, Genetic/statistics & numerical data; Genetic Association Studies/statistics & numerical data; Heuristics; Humans; Machine Learning/statistics & numerical data; Models, Genetic; Software; Stochastic Processes; Systems Biology

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning Type of study: Evaluation_studies / Observational_studies Limits: Humans Language: En Journal: Pac Symp Biocomput Journal subject: BIOTECNOLOGIA / INFORMATICA MEDICA Year: 2018 Type: Article

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