Genetic programming, standardisation, and stochastic gradient descent revisited: initial findings on SRBench.
Grant DickPublished in: GECCO Companion (2022)
Keyphrases
- initial findings
- stochastic gradient descent
- genetic programming
- least squares
- loss function
- matrix factorization
- step size
- fitness function
- random forests
- support vector machine
- evolutionary algorithm
- multiple kernel learning
- genetic algorithm
- importance sampling
- weight vector
- regularization parameter
- online algorithms
- monte carlo
- convergence rate
- logistic regression
- upper bound
- cost function
- learning rate
- random forest
- benchmark datasets
- lower bound
- support vector