Prediction of Store Demands by Decision Trees and Recurrent Neural Networks Ensemble with Transfer Learning.
Nikica PericNaomi-Frida MuniticIvana BasljanVinko LesicPublished in: ICAART (3) (2022)
Keyphrases
- transfer learning
- recurrent neural networks
- decision trees
- neural network
- machine learning algorithms
- chaotic time series
- learning tasks
- machine learning
- ensemble methods
- knowledge transfer
- labeled data
- learning algorithm
- collaborative filtering
- active learning
- recurrent networks
- echo state networks
- reinforcement learning
- feed forward
- cross domain
- semi supervised learning
- domain adaptation
- structure learning
- training data
- training set
- base classifiers
- target domain
- multi task
- transfer knowledge
- text classification
- artificial intelligence
- cross domain learning
- naive bayes
- unlabeled data
- text mining
- recommender systems
- artificial neural networks
- similarity measure
- decision making