The present study is a review of recently-done research (in the past 10 years) on the feature selection methods and a set of the applications in pattern recognition. The study aimed to introduce the latest research on the feature selection methods and applications. The study findings can be ...
A number of open problems in the field are presented.doi:10.1007/s00521-013-1368-0Vergara, Jorge R.Est??vez, Pablo A.Springer LondonNeural Computing & ApplicationsVERGARA J R,ESTEVEZ P A. A review of feature selection methods based on mutual information[J]. Neural Computing and Applications...
The present study is a review of recently-done research (in the past 10years) on the feature selection methods and a set of the applications in pattern recognition. The study aimed to introduce the...doi:10.1007/978-981-10-8672-4_12Najme Ghanbari...
A review of feature selection techniques in bioinformatics Abstract Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific ...
This paper focuses on a survey of feature selection methods, from this extensive survey we can conclude that most of the FS methods use static data. However, after the emergence of IoT and web-based applications, the data are generated dynamically and grow in a fast rate, so it is likely...
About Feature Scaling and Normalization http://sebastianraschka.com/Articles/2014_about_feature_scaling.html Feature Generation with RF, GBDT and Xgboost https://blog.csdn.net/anshuai_aw1/article/details/82983997 A review of feature selection methods with applications https://ieeexplore.ieee.org...
文章链接:A literature review of feature selection techniques and applications: Review of feature selection in data mining | IEEE Conference Publication | IEEE Xplore 文献内容 Abstract 特征选择在大型数据集中识别不相关特征和冗余特征中起着重要作用。特征选择是一种广泛用于大量数据的预处理过程。特征选择概念...
A Review on Feature Selection and Document Classification using Support Vector Machine Recently the development of high performance, automatic text classification as well as feature selection has very challenging and tedious process because o... YR Surkar,S Mohod - 《International Journal of Engineering...
In recent years, unsupervised feature selection methods have raised considerable interest in many research areas; this is mainly due to their ability to identify and select relevant features without needing class label information. In this paper, we provide a comprehensive and structured review of the...
0.1.2 Feature Selection Models 特征选择 高维数据的维度之咒,使得降维非常重要。特征选择是降维的一种重要手段。 特征选择是根据某些相关性评估标准,从原始特征中选择一小部分相关特征,这通常会带来更好的学习性能,例如:更高的学习准确性,更低的计算成本和更好的模型可解释性。特征选择已成功应用于许多实际应用,如...