19 search results - page 2 / 4 » A Statistical Learning Perspective of Genetic Programming |
JASIS
2000
13 years 5 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
ACSW
2004
13 years 6 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
GPEM
2002
13 years 5 months ago
2002
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
ACMSE
2006
ACM
13 years 11 months ago
2006
ACM
This paper presents the preliminary findings of the Electronic Portfolio Student Perspective Instrument (EPSPI) developed to ascertain student attitudes and intended uses of ePort...
RECOMB
2003
Springer
14 years 5 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...