A survey on the application of genetic programming to classification
Classification is one of the most researched questions in machine learning and data mining.
A wide range of real problems have been stated as classification problems, for example …
A wide range of real problems have been stated as classification problems, for example …
Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming: Lulu. com, 2008, 250 pp, ISBN 978-1-4092-0073-4
M O'Neill - 2009 - Springer
The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
Building credit scoring models using genetic programming
Credit scoring models have been widely studied in the areas of statistics, machine learning,
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
In the last decades, early disease identification through non-invasive and automatic
methodologies has gathered increasing interest from the scientific community. Among …
methodologies has gathered increasing interest from the scientific community. Among …
Two-stage genetic programming (2SGP) for the credit scoring model
Credit scoring models have been widely studied in the areas of statistics, machine learning,
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …
Genetic programming: An introduction and tutorial, with a survey of techniques and applications
The goal of having computers automatically solve problems is central to artificial
intelligence, machine learning, and the broad area encompassed by what Turing called …
intelligence, machine learning, and the broad area encompassed by what Turing called …
A hybrid recognition system for off-line handwritten characters
Computer based pattern recognition is a process that involves several sub-processes,
including pre-processing, feature extraction, feature selection, and classification. Feature …
including pre-processing, feature extraction, feature selection, and classification. Feature …
Empirical modeling of fresh and hardened properties of self-compacting concretes by genetic programming
This article introduces genetic programming (GP) as a new tool for the formulations of fresh
and hardened properties of self-compacting concretes (SCC). There are no well known …
and hardened properties of self-compacting concretes (SCC). There are no well known …
Establishment of the mathematical model for diagnosing the engine valve faults by genetic programming
WX Yang - Journal of sound and vibration, 2006 - Elsevier
Available machine fault diagnostic methods show unsatisfactory performances on both on-
line and intelligent analyses because their operations involve intensive calculations and are …
line and intelligent analyses because their operations involve intensive calculations and are …
A new learning-based spatiotemporal descriptor for online symbol recognition
M Sepahvand… - Journal of AI and Data …, 2022 - jad.shahroodut.ac.ir
The success of handwriting recognition methods based on digitizer-pen signal processing is
mostly dependent on the defined features. Strong and discriminating feature descriptors can …
mostly dependent on the defined features. Strong and discriminating feature descriptors can …