Benchmarking Deep Learning models and hyperparameters for Bridge Defects Classification.
Somayeh ShahrabadiDibet Garcia GonzalezNuno J. SousaTelmo AdãoEmanuel PeresLuís MagalhãesPublished in: CENTERIS/ProjMAN/HCist (2022)
Keyphrases
- learning models
- classification models
- hyperparameters
- machine learning
- model selection
- cross validation
- support vector
- machine learning algorithms
- learning algorithm
- unsupervised learning
- feature selection
- loss function
- classification accuracy
- incremental learning
- decision trees
- feature vectors
- semi supervised learning
- data sets
- conditional random fields
- support vector machine svm
- image classification
- graphical models
- svm classifier
- maximum a posteriori
- learning environment
- random sampling
- support vector machine
- computer vision
- upper bound
- bayesian framework
- prior information
- learning problems
- learning tasks
- maximum likelihood
- nearest neighbor
- higher order
- sample size
- text classification