Abstract
We prove that the class of convex bodies contained in a fixed (prescribed) bounded region R c lQd is PAC-learnable, if the positive examples are drawn according to the uniform distribution Df on the target concept (the distribution Dm on the negative examples may be arbitrary). Our results extend previous work by E. Baum.
| Original language | Undefined |
|---|---|
| Pages (from-to) | 35-39 |
| Number of pages | 5 |
| Journal | Information processing letters |
| Volume | 0 |
| Issue number | 43 |
| DOIs | |
| Publication status | Published - 1992 |
Keywords
- Theory of computation
- convex bodies
- METIS-140518
- uniform distribution
- IR-29884
- learning by example
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