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
標簽： preprocessing frequently selection technique
上傳時間： 2014-01-19
上傳用戶：lindor
feature-selection-with-acquisition cost-for-optimizing-sensor-system-design.pdf
標簽： feature-selection-with-acquisitio cost-for-optimizing-sensor-system design
上傳時間： 2016-01-30
上傳用戶：bruce
A selection sort program
上傳時間： 2014-01-08
上傳用戶：busterman
Bayesian Model selection
上傳時間： 2016-03-03
上傳用戶：鳳臨西北
gaussian algorithm for Bayesian Model selection
標簽： algorithm selection gaussian Bayesian
上傳時間： 2016-03-03
上傳用戶：6546544
smcdemo1 for Bayesian Model selection
標簽： selection smcdemo1 Bayesian Model
上傳時間： 2016-03-03
上傳用戶：gonuiln
自己編的matlab程序。用于模式識別中特征的提取。是特征提取中的Sequential Forward selection方法，簡稱sfs.它可以結合Maximum-Likelihood-Classifier分類器進行使用。
標簽： Sequential selection Forward matlab
上傳時間： 2016-04-02
上傳用戶：ma1301115706
On-Line MCMC Bayesian Model selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： demonstrates sequential selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
java script to pop out selection
上傳時間： 2014-01-23
上傳用戶：yuanyuan123
Threshold selection for UWB TOA estimation based on kurtosis
標簽： estimation Threshold selection kurtosis
上傳時間： 2013-12-20
上傳用戶：hfmm633
