198 search results - page 7 / 40 » Using Genetic Programming for Turing Machine Induction |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
IUI
1999
ACM
15 years 1 months ago
1999
ACM
Although Programming by Demonstration (PBD) has the potential to improve the productivity of unsophisticated users, previous PBD systems have used brittle, heuristic, domain-speci...
ML
1998
ACM
14 years 9 months ago
1998
ACM
This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...