Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach.
Gyeong-In YuSaeed AmizadehArtidoro PagnoniByung-Gon ChunMarkus WeimerMatteo InterlandiPublished in: CoRR (2019)
Keyphrases
- machine learning
- data mining
- neural network
- inductive learning
- biologically inspired
- big data
- machine translation
- machine learning algorithms
- supervised machine learning
- machine learning and data mining
- learning rules
- learning tasks
- transfer learning
- text classification
- natural language processing
- artificial intelligence
- feature selection
- data analysis
- genetic algorithm
- supervised learning
- neural model
- computer vision
- machine learning approaches
- cross language information retrieval
- reinforcement learning
- artificial neural networks
- knowledge representation
- knowledge discovery
- loss function
- support vector machine
- model selection
- knowledge acquisition
- information extraction