Results 231 to 240 of about 56,963 (262)

Active learning approaches for learning regular expressions with genetic programming

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
We consider the long-standing problem of the automatic generation of regular expressions for text extraction, based solely on examples of the desired behavior. We investigate several active learning approaches in which the user annotates only one desired extraction and then merely answers extraction queries generated by the system.
BARTOLI, Alberto, DE LORENZO, ANDREA, MEDVET, Eric, TARLAO, FABIANO   +3 more
openaire   +2 more sources

Genetic programming with smooth operators for arithmetic expressions: diviplication and subdition

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
This paper introduces the smooth operators for arithmetic expressions as an approach to smoothening the search space in Genetic Programming (GP). Smooth operator GP interpolates between arithmetic operators such as * and /, thereby allowing a gradual adaptation to the problem.
Ursem, Rasmus Kjær, Krink, Thiemo
openaire   +2 more sources

Classification of Gene Expression Data with Genetic Programming

2003
This paper summarizes the use of a genetic programming (GP) system to develop classification rules for gene expression data that hold promise for the development of new molecular diagnostics. This work focuses on discovering simple, accurate rules that diagnose diseases based on changes of gene expression profiles within a diseased cell. GP is shown to
Joseph A. Driscoll, Bill Worzel, Duncan MacLean   +2 more
openaire   +1 more source

Genetic expression programming: a new approach for QoS traffic prediction in EPONs

Photonic Network Communications, 2013
The Ethernet passive optical network is being regarded as the most promising for next-generation optical access solutions in the access networks. In time division multiplexing passive optical network technology (TDM-PON), the dynamic bandwidth allocation (DBA) plays a crucial key role to achieve efficient bandwidth allocation and fairness among ...
Jhong-Yue Lee, I-Shyan Hwang, Andrew Tanny Liem, K. Robert Lai, AliAkbar Nikoukar   +4 more
openaire   +1 more source

A combination of kernel methods and genetic programming for gene expression pattern classification

2006 International Conference onResearch, Innovation and Vision for the Future, 2006
The rapidly emerging field of quantitative proteomics has established itself as a credible approach for understanding of the biology of whole organisms. Classification of proteins according to the level of their expression during a particular process allows discovering causal relationships among genes and proteins involved in the process. In this paper,
Cuong To, Jiri Vohradsky
openaire   +1 more source

Classification of Gene Expression Data by Majority Voting Genetic Programming Classifier

2006 IEEE International Conference on Evolutionary Computation, 2006
Recently, genetic programming (GP) has been applied to the classification of gene expression data. In its typical implementation, using training data, a single rule or a single set of rules is evolved with GP, and then it is applied to test data to get generalized test accuracy. However, in most cases, the generalized test accuracy is not higher.
Topon Kumar Paul, Yoshihiko Hasegawa, Hitoshi Iba   +2 more
openaire   +1 more source

A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming

2019
This paper proposes a new expression of probabilistic tree for probabilistic model building GPs (PMBGP). Tree-structured PMBGPs estimate the probability of appearance of symbols at each node of the tree from past search information, and decide the symbol based on the probability at each node in generating a solution.
Daichi Kumoyama, Yoshiko Hanada, Keiko Ono   +2 more
openaire   +1 more source

Conditionals Support in Binary Expression Tree Based Genetic Programming

2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), 2022
Feng-Cheng Chang, Hsiang-Cheh Huang
openaire   +1 more source

Analysis of cutting parameters on tool wear in turning of Ti-6Al-4V alloy by multiple linear regression and genetic expression programming methods

Measurement: Journal of the International Measurement Confederation, 2022
Sehmus Fidan
exaly  

Shear Strength Enhancement Prediction of Sand–Fiber Mixtures Using Genetic Expression Programming

Journal of Materials in Civil Engineering, 2021
Mahmoodreza Abdi, Hadi Rashed
exaly