In : Artificial Intelligence : Concepts and Applications in Engineering

@inproceedings{Mirzai1990InA,
  title={In : Artificial Intelligence : Concepts and Applications in Engineering},
  author={A. R. Mirzai},
  year={1990}
}
  • A. R. Mirzai
  • Published 1990
The use of expert systems is becoming more and more widespread, making the need for appropriate machine learning techniques more acute to help ease the knowledge aquisition bottleneck. Additionally, the increasing number of large databases ooers a vast potential for the automatic generation of new knowledge by machines and its communication to people in a comprehensible form. In response to these events, this paper provides an overview of current machine learning work with a particular emphasis… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Decision trees as probabilistic classi ers

J. R. Quinlan
In Proc. 4th International Workshop on Machine Learning Ca, • 1987
View 9 Excerpts
Highly Influenced

Generating Production Rules from Decision Trees

IJCAI • 1987
View 9 Excerpts
Highly Influenced

Incidence calculus: A mechanism for probabilistic reasoning

Journal of Automated Reasoning • 1984
View 4 Excerpts
Highly Influenced

Learning of Qualitative Models

EWSL • 1987
View 4 Excerpts
Highly Influenced

Knowledge repair mechanisms: evolution vs. revolution

R. S. Michalski
ISG 85-15, • 1985
View 12 Excerpts
Highly Influenced

A Theory and Methodology of Inductive Learning

Artif. Intell. • 1983
View 12 Excerpts
Highly Influenced

Experiments in Induction

E. B. Hunt, J. Marin, P. T. Stone
1966
View 2 Excerpts
Highly Influenced

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