Comparison of Loss Functions for Training of Deep Neural Networks in Shogi.
Hanhua ZhuTomoyuki KanekoPublished in: TAAI (2018)
Keyphrases
- loss function
- neural network
- training process
- pairwise
- squared error
- support vector
- training algorithm
- loss minimization
- risk minimization
- logistic regression
- learning to rank
- update rules
- convex loss functions
- partially labeled data
- reproducing kernel hilbert space
- back propagation
- boosting algorithms
- supervised learning
- artificial neural networks
- hinge loss
- pattern classification
- bregman divergences
- training set
- machine learning
- bayes rule
- training data
- similarity measure
- information retrieval