[PDF] Top 20 A Novel Grey-Based Feature Ranking Method for Feature Subset Selection
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A Novel Grey-Based Feature Ranking Method for Feature Subset Selection
... Consequently, it is difficult to select a best feature subset for pattern classification from the entire search space with respect to the tradeoff between high classification accuracy an[r] ... See full document
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A new method for feature subset selection for handling classification problems
... the feature subset searching. There are many methods for dealing with features’ quality-measures, such as similarity measures [19], gain-entropies [4], the relevance of features [1], decision tables ... See full document
6
A novel feature selection method for large -scale data set
... propose a nearly optimal feature selection method, called bitmap-based feature selection method with discernibility matrix, which employs a discernibility ... See full document
1
A Hybrid Feature Selection Method for Microarray Classification
... difficult. Feature selection is an important pre-treatment for any classification ...Selecting a useful gene subset as a classifier not only decreases the computational time and ... See full document
3
IG-GA: A Hybrid Filter/Wrapper Method for Feature Selection of Microarray Data
... involves feature selection and classifier design. Generally, only a small number of gene expression data show a strong correlation with a certain phenotype compared to the total number ... See full document
3
SVM-RFE Based Feature Selection and Taguchi Parameters Optimization for Multiclass SVM Classifier
... The method is known as 𝑘-fold ...The ranking order of all features for Dermatology and Zoo databases, using RFE-SVM, is summarized as follows: Dermatology = {V1, V16, V32, V28, V19, V3, V17, V2, V15, ... See full document
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iSpreadRank: Ranking sentences for extraction-based summarization using feature weight propagation in the sentence similarity network
... proposed method can be regarded as a theme clus- tering based ...inferred ranking. Con- sequently, a sequence of similar sentences with close weights constitutes a partition of ... See full document
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A Novel Prediction Method for Tag SNP Selection using Genetic Algorithm based on KNN
... identify a small subset of informative SNPs, the so-called tag ...This subset consists of selected SNPs of the genotypes, and accurately represents the rest of the ...evaluation method is ... See full document
3
FORECASTING IPO RETURNS USING FEATURE SELECTION AND ENTROPY-BASED ROUGH SETS
... require a strict assumption of probability density function, which may not adequately reflect actual market ...proposes a novel method of using feature selection and ... See full document
1
Improving Face Recognition Performance Using Similarity Feature-based Selection and Classication Algorithm
... handle feature redundancy, therefore it wastes lots of time computing, the accuracy is not high in face recognition applications ...in a class have small changes in translation, rotation and ... See full document
7
A hybrid feature selection method for DNA microarray data
... r a c t Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis ...of a fairly small sample size compared to the ... See full document
5
An efficient bit-based feature selection method
... Abstract Feature selection is about finding useful (relevant) features to describe an application ...needs a very time-consuming search to get the features ...proposes a bit-based ... See full document
12
A High-Speed Feature Selection Method For Large Dimensional Data Set
... tool for dealing with data classification ...used for feature reduction and the features that do not contribute towards the classification of the given training data will be ...time for such ... See full document
33
A Hybrid Prototype Construction and Feature Selection Method with Parameter Optimization for Support Vector Machine
... features selection to reduce the irrelevant features for the ...classifier. Feature selection algorithms may be widely categorized into two groups: the filter and the wrapper approaches ... See full document
6
An HMM-Based Algorithm for Content Ranking and Coherence-Feature Extraction
... on a tablet PC or a graphics tablet ...listed based on the recognition results. After the user selects a candidate term, phrase recommendation functionality lists possible candidate phrases ... See full document
11
Chaotic maps based on binary particle swarm optimization for feature selection
... 0707. For the identification of relevant features and the removal of irrelevant features two different methods can be employed, namely the filter and wrapper ...select feature subsets without involving any ... See full document
5
Grey self-organizing feature maps
... self-organizing feature maps (SOFM), the adjustable output nodes can be determined by the neighborhood size ofthe winning ...as a reference sequence and a comparative sequence, respectively, the ... See full document
15
Automatic EMG feature evaluation for controlling a prosthetic hand using supervised feature mining method: an intelligent approach
... Moreover, experimental results show that the optimal EMG feature subset obtained from SFM can obtain higher classification rates compared with using all feature candidates[r] ... See full document
6
A Feature Extraction and Classification Method for Music Objects in MusicXML
... 關於音樂的結構特徵（structural feature），最 顯著的特色有：重覆性規則（repeating rule）與階層 性規則（hierarchical rule）。重覆性規則與階層性規 則皆可以呈現出音樂曲式結構的特性。 [Hsu01]利用 重覆性規則找尋音樂物件中的重覆樣型。然而，目 前就我們所知，尚未有利用階層性規則來表示音樂 結構的研究。所以，我們提出一個想法，不只是單 ... See full document
11
Classifier design with feature selection and feature extraction using layered genetic programming
... usually a small ...value, for example, when I i = A 1 or I j = A 5 , the crossover opera- tor just swaps them entirely and will not generate any dif- ferent ...also a local optimum ... See full document
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