Embracing semantic ambiguity to enhance interpretability of complex unstructured machine learning problems.
James LeeZuemao WangArlene JohnsonPublished in: ASIST (2018)
Keyphrases
- learning problems
- learning tasks
- supervised learning
- kernel methods
- learning algorithm
- learning machines
- sample complexity
- machine learning
- semi supervised learning
- statistical learning theory
- machine learning algorithms
- multi task learning
- reinforcement learning
- multi task
- computational learning theory
- pac learning
- prediction accuracy
- natural language
- probabilistic model
- similarity measure
- feature extraction
- reproducing kernel hilbert space
- information retrieval
- real world