Research map / Label-efficient and robust learning / Recognition and long-tail
Learning from discriminative feature feedback
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| random choice of separating feature on each mistake instead of a human teacher's choice | feedback learner · UCI ZOO | mistakes before convergence: 14 mistakes | No clear effect |
| feature choice implicitly splits classes into groups | feedback learner · UCI ZOO | decision list structure | Helped |
| teacher uses at most k features | mistake bound · theory | mistake bound: m^2 -> km | Helped |
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