Feature selection is a preProcessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
标签： preProcessing frequently selection technique
上传时间： 2014-01-19
上传用户：lindor
data preProcessing for text classification.
标签： classification preProcessing data text
上传时间： 2016-10-16
上传用户：zhangliming420
Many problems in statistical pattern recognition begin with the preProcessing of multidimensional signals, such as images of faces or spectrograms of speech.
标签： multidimensional preProcessing statistical recognition
上传时间： 2016-12-01
上传用户：515414293
The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preProcessing and postprocessing tools. In other words, it is preProcessing of data and postprocessing of models where expertise is truly ne
标签： mathematical algorithms mechanical procedures
上传时间： 2015-03-31
上传用户：silenthink
Prony算法工具箱。Prony方法是用一组指数项的线性组合来拟和等间距采样数据的方法,可以从中分析出信号的幅值、相位、阻尼因子、频率等信息。considerations including data preProcessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
标签： Prony considerations including data
上传时间： 2015-09-11
上传用户：lizhizheng88
This paper presents a novel technique to increase the quality of medical images based on Histogram Equalization. In the proposed method first we have applied a noise reduction method and then we apply some suitable preProcessing on histogram of the medical images and after that histogram equalization has been applied on the new histogram. Our proposed method in despite of its simplicity has better results in compare to other usual methods based on histogram equalization. The quality of resulted images after applying our proposed methods has been tested on a database (medical images) with a confirmed criterion by viewer. Also we have considered a mathematical criterion for comparing our proposed algorithm with other available methods for contrast enhancement. Results show the better efficiency of the proposed method.
标签： Histogram technique increase presents
上传时间： 2017-04-20
上传用户：VRMMO
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preProcessing.
标签： foundations The consists sections
上传时间： 2017-06-22
上传用户：lps11188
HRVAS is a complete and self-contained heart rate variability analysis software (HRVAS) package. HRVAS offers several preProcessing options. HRVAS offers time-domeain, freq-domain, time-frequency, and nonlinear HRV analysis. All results can be exported to an Excel file. For processing many files HRVAS offers a bach processing feature. All settings/options can be saved to a .mat file and reloaded for future HRV analysis. Upon starting HRVAS all previously used settings/options are loaded.
标签： HRVAS时频分析
上传时间： 2021-09-19
上传用户：boboo
