Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.
Xiaoyi GuoYuqing QianPrayag TiwariQuan ZouYijie DingPublished in: BIBM (2022)
Keyphrases
- risk sensitive
- echo state networks
- sparse learning
- recurrent neural networks
- optimal control
- relevance vector machine
- utility function
- elastic net
- multi task
- markov decision processes
- sparse representation
- model free
- kernel methods
- kernel function
- gaussian processes
- multiple kernel learning
- kernel learning
- optimality criterion
- sparse coding
- learning tasks
- dynamic programming
- support vector
- lower bound
- machine learning
- feature space
- reinforcement learning