| Article ID: | iaor20062436 |
| Country: | United Kingdom |
| Volume: | 32 |
| Issue: | 11 |
| Start Page Number: | 2853 |
| End Page Number: | 2874 |
| Publication Date: | Nov 2005 |
| Journal: | Computers and Operations Research |
| Authors: | Quint Thomas, Judson D.H., Bagchi Sitadri |
| Keywords: | artificial intelligence |
In this paper, we consider an unknown semi-coherent structure function. Our main focus is the inductive inference problem, that is, how to learn the structure function from data which partially defines the functions. We develop a set of algorithms and simulate their success in learning an arbitrary 10-component function, and conclude that the algorithms are feasible.