Amanote Research
Register
Sign In
Using K-Fold Cross Validation and ResNet Ensembles to Predict Cooking States
doi 10.32555/2019.dl.017
Full Text
Open PDF
Abstract
Available in
full text
Date
April 15, 2019
Authors
Fred Mubang
Publisher
RPAL
Related search
Figure 1: K-Fold (K = 5) Cross Validation Method.
Bearing Fault Diagnosis Using Support Vector Machine With Genetic Algorithms Based Optimization and K Fold Cross-Validation Method
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Short-Term Photovoltaic Power Output Prediction Based on K-Fold Cross-Validation and an Ensemble Model
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Validation of Tacrolimus Equation to Predict Troughs Using Genetic and Clinical Factors
Pharmacogenomics
Molecular Medicine
Genetics
Pharmacology
Figure 5: Genome Enrichment for 400 Genomes With Three-Fold Cross-Validation.
Table 3: Correlation Coefficients for First 5 CCA Components, Estimated Using 10-Fold Cross-Validation on Massachusetts Data.
Use Ofn-Fold Cross-Validation to Evaluate Three Methods to Calculate Heavy Truck Annual Average Daily Traffic and Vehicle Miles Traveled
Journal of the Air and Waste Management Association
Management
Monitoring
Waste Management
Disposal
Atmospheric Science
Policy
Law
Pollution
A Comparison and Cross-Validation of Models to Predict Basic Activity of Daily Living Dependency in Older Adults
Medical Care
Environmental
Public Health
Occupational Health
Ensemble Approach to Predict Specificity Determinants: Benchmarking and Validation
BMC Bioinformatics
Biochemistry
Applied Mathematics
Computer Science Applications
Structural Biology
Molecular Biology