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- What algorithms perform best for which type of problems and representations?
- How much training data is sufficient?
- How can prior knowledge be used?
- How can you choose a useful next training experience?
- How does noisy data influence accuracy?
- How do you reduce a learning problem to a set of function approximations?
- How can the learner automatically alter its representation to improve its ability to represent and learn the target function?
Patricia Jean Riddle
Wed Jun 23 13:06:34 NZST 1999