Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.
Haoxiang WangRuoyu SunBo LiPublished in: CoRR (2020)
Keyphrases
- neural nets
- meta learning
- global convergence
- learning tasks
- kernel methods
- global optimum
- convergence speed
- optimization methods
- convergence rate
- inductive learning
- machine learning
- transfer learning
- feed forward
- learning algorithm
- learning experience
- artificial neural networks
- kernel function
- neural network
- supervised learning
- decision trees
- machine learning algorithms
- back propagation
- model selection
- support vector
- base classifiers
- feature selection
- hybrid algorithm
- multi label
- multiple kernel learning
- genetic algorithm ga
- differential evolution
- particle swarm optimization
- support vector machine
- feature space
- data mining