Machine Learning
As I had previously written, I’m doing a fair bit of machine learning these days for automated disease classification. I found a whitepaper by Tom Mitchell that gives a broad overview of the field.
How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?
Application Successes: Speech recognition, Computer vision, Bio-surveillance, Robot control and Accelerating empirical sciences.
Current research questions:
- Using unlabeled data for supervised learning
- Transfer knowledge from learning one task to another
- Relationship between different learning algorithms
- Strategy for learners that collect their own data
- Data privacy in data mining
The top conferences and journals in Machine Learning as stated in the paper:
- International Conference on Machine Learning (ICML).
- Conference on Neural Information Processing Systems (NIPS).
- Annual Conference on Learning Theory (COLT).
- Journal of Machine Learning Research (JMLR). Freely available.
- Machine Learning.