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RISMeasuring and visualizing the stability of biomarker selection techniques
A New Evolutionary-Incremental Framework for Feature Selection
Feature selection is an NP-hard problem fromthe viewpoint of algorithmdesign and it is one of the main open problems in pattern recognition. In this paper, we propose a new evolutionary-incremental framework for feature selection.The proposed...
Feature Selection in Spectral Clustering
feature selection schema based on extracted features of
Kernel PCA. In the proposed algorithm, selecting appropriate vectors is dependent upon
entropy of clusters on these vectors and weighting method is influenced...
Waveform design for detection in MIMO over-the-horizon radar
Negative curvature fibers with reduced leakage loss
Estimating mutual information for feature selection in the presence of label noise
Analysis of feature selection stability on high dimension and small sample data
Transmission line fault location using hybrid wavelet-Prony method and relief algorithm
Context: Intelligent fault locating in transmission lines consists of three main steps: feature extraction,
feature selection, and utilizing a learning tool.
Objective: The main objective of this paper is to propose a systematic...
Fast Voltage and Power Flow Contingency Ranking Using Enhanced Radial Basis Function Neural Network
Deregulation of power system in recent years has changed static security assessment to the major concerns for which fast and accurate evaluation methodology is needed. Contingencies related to voltage violations and power ...
Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows
There are some studies regarding the prediction of agricultural energy flows using artificial neural networks -ANNs-. These models are quite sensitive to correlations amongst inputs, and, there are often strong correlations ...