Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning.
Sorataro FujikaYuga YajimaTeruo TanakaAkihiro FujiiYuka KatoSatoshi OhshimaTakahiro KatagiriPublished in: HPC Asia (2023)
Keyphrases
- machine learning
- optimization algorithm
- prediction accuracy
- global optimization
- parameter optimization
- optimization method
- model selection
- optimization problems
- prediction algorithm
- fully automatic
- machine learning methods
- pattern recognition
- reinforcement learning
- pedestrian detection
- artificial intelligence
- learning algorithm
- learning problems
- parallel processing
- computational intelligence
- text mining
- supervised learning
- object detection
- distributed memory
- prediction model
- road network
- optimization process
- tuning parameters
- maximum a posteriori
- semi automatic
- machine learning algorithms
- shortest path
- knowledge acquisition
- natural language processing
- semi supervised
- information extraction
- probabilistic model
- feature selection