Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction
نویسندگان
چکیده
منابع مشابه
The application of genetic programming for feature construction in classification
This Thesis addresses the task of feature construction for classification. The quality of the data is one of the most important factors influencing the performance of any classification algorithm. The attributes defining the feature space of a given data set can often be inadequate, making it difficult to discover interesting knowledge. However, even when the original attributes are individuall...
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Genetic algorithms (GAs) are excellent for learning concepts that span complex space, especially those with a large number of local optima. Learning algorithms, in general, perform well on data that has been pre-processed to reduce complexity. Several studies have documented their effectiveness on raw as well as pre-processed data using feature selection, etc. Unlike other learning algorithms (...
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Image analysis is a key area in the computer vision domain that has many applications. Genetic Programming (GP) has been successfully applied to this area extensively, with promising results. Highlevel features extracted from methods such as Speeded Up Robust Features (SURF) and Histogram of Oriented Gradients (HoG) are commonly used for object detection with machine learning techniques. Howeve...
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Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
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The importance of input representation has been recognized already in machine learning. This article discusses the application of genetic-based feature construction methods to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). Here, feature construction methods are applied to improve the descriptive accuracy of the DARA algorithm. T...
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ژورنال
عنوان ژورنال: European Journal of Engineering Research and Science
سال: 2019
ISSN: 2506-8016
DOI: 10.24018/ejers.2019.4.5.1272