Combining Conjugate Gradient and Momentum for Unconstrained Stochastic Optimization With Applications to Machine Learning.
Yulan YuanDanny H. K. TsangVincent K. N. LauPublished in: IEEE Internet Things J. (2024)
Keyphrases
- stochastic optimization
- conjugate gradient
- machine learning
- multistage
- convergence rate
- training algorithm
- learning rate
- faster convergence
- maximum likelihood estimation
- support vector machine
- learning algorithm
- machine learning algorithms
- computer vision
- levenberg marquardt
- robust optimization
- reinforcement learning
- learning tasks
- reproducing kernel hilbert space
- artificial intelligence