Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Behrouz Zamani Dadaneh"'
Publikováno v:
Expert Systems with Applications. 53:27-42
We proposed an unsupervised method to remove redundant and irrelevant features.The algorithm needs no learning algorithms and class label to select features.Similarity between features will be considered in computation of feature relevance. Feature s
Publikováno v:
2015 5th International Conference on Computer and Knowledge Engineering (ICCKE).
Feature selection is a process with the aim of diminishing irrelevant and redundant features from original set. Some of features which are called irrelevant not only provide no useful information to classifier but also put it in pitfalls. Some other
Publikováno v:
2015 5th International Conference on Computer and Knowledge Engineering (ICCKE).
Up until now large variety of algorithmic approaches applied to solve Graph Coloring Problem (GCP). However, researchers try to tackle this problem much faster with better results. In proposed paper, we came up with a method in order to address this
Publikováno v:
Artificial Intelligent Approaches in Petroleum Geosciences ISBN: 9783319165301
Characterization and estimation of physical properties are two of the most important key activities for successful exploration and exploitation in the petroleum industry. Pore-fluid pressures as well as estimating permeability, porosity, or fluid sat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a0b13d81d567b13b77e51c9c63404f8
https://doi.org/10.1007/978-3-319-16531-8_7
https://doi.org/10.1007/978-3-319-16531-8_7