Dissertation Information for Jamie CallanNAME:
DEGREE:
DISCIPLINE:
SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Incomplete - Inspected Title: Knowledge-based feature generation for inductive learning Abstract: Inductive learning is an approach to machine learning in which concepts are learned from examples and counterexamples. One requirement for inductive learning is an explicit representation of the characteristics, or features, that determine whether an object is an example or counterexample. Obvious or easily available representations do not reliably satisfy this requirement, so constructive induction algorithms have been developed to satisfy it automatically. However, there are some features, known to be useful, that have been beyond the capabilities of most constructive induction algorithms. |
MPACT Scores for Jamie CallanA = 0 Advisors and Advisees Graphgenerating graph, please reload |
Students under Jamie Callan
ADVISEES:
- None
COMMITTEESHIPS:
- Ibrahim Hassan Abu El-Khair - University of Pittsburgh (2003)