| dc.contributor.advisor | Narasimha Murty, M | |
| dc.contributor.author | Bhandaru, Malini Krishnan | |
| dc.date.accessioned | 2025-10-07T10:51:52Z | |
| dc.date.available | 2025-10-07T10:51:52Z | |
| dc.date.submitted | 1998 | |
| dc.identifier.uri | https://etd.iisc.ac.in/handle/2005/7144 | |
| dc.description.abstract | The data structure HC-expression is flexible due its
multilevel exceptions. This allows it to learn disjunctive
concepts and concepts with some internal structure.
The satellite functions and the incremental algorithm
42
were presented. The empherical constants for similarity and
quality threshold have to be carefully chosen.
We find that the HC-expressions are flexible and
versatile enough to represent disjunctive and conjunctive
concepts. | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | T04312 | |
| dc.rights | I grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation | |
| dc.subject | Concept Learning | |
| dc.subject | Multilevel Exceptions | |
| dc.subject | Disjunctive and Conjunctive Concepts | |
| dc.title | Learning From Examples Using Hierarchical Counterfactual Expressions | |
| dc.type | Thesis | |
| dc.degree.level | MSc Engg | |
| dc.degree.level | Masters | |
| dc.degree.grantor | Indian Institute of Science | |
| dc.degree.discipline | Engineering | |
