Anurag.Acharya@CENTRO.SOAR.CS.CMU.EDU (05/01/88)
Dates: 9-May-88
Time: 11:30 am
Place: WeH 7220
Type: Machine Learning Seminar
Duration: 1 hr.
Who: Francesco Bergadano (CS Dept., U. di Torino, Italy)
Automated Concept Acquisition in Noisy Environments
F. Bergadano, A. Giordana, L. Saitta
Computer Science Dpt
Universita di Torino, Torino, Italy
A learning method for concept acquisition from examples
in noisy environments is presented. The learned knowledge
is expressed in the form of production rules, organized into
separate clusters and linked together in a graph structure;
A continuous-valued semantics is associated
to the description language and each rule is affected
by a certainty factor.
The learning process is guided by a top-down control
strategy, through successive specialization steps. Search
is strongly focalized by task-oriented heuristics and
by the available domain knowledge. The methodology
been tested on a problem in the field of speech recognition,
and the obtained results are presented and discussed.
Mr. Bergadano is also interested in the following topics:
inductive learning, explanation based learning, integration of inductive
and deductive approaches to Machine Learning, and applications of learning
systems to Pattern Recognition, and would like to meet people working
in these areas.