A Novel Feature Selection Framework in Chinese Term Definition Extraction

2011 ◽  
Vol 11 (1) ◽  
pp. 148-153 ◽  
Author(s):  
Xu Pan ◽  
Hong-Bin Gu ◽  
Zhi-Qing Zhao
Keyword(s):  
Feature Selection ◽  
Selection Framework ◽  
Chinese Term

scholarly journals An ensemble feature selection framework for early detection of Parkinson's disease based on feature correlation analysis

2021 ◽  
Author(s):  
Sarfaraz Masood ◽  
Khwaja Wisal ◽  
Om Pal ◽  
Chanchal Kumar
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Large Population ◽  
Feature Selection Method ◽  
Sampling Strategy ◽  
Chi Square ◽  
Accurate Identification ◽  
Initial Symptoms ◽  
Selection Framework

Parkinson’s disease (PD) is a highly common neurological disease affecting a large population worldwide. Several studies revealed that the degradation of voice is one of its initial symptoms, which is also known as dysarthria. In this work, we attempt to explore and harness the correlation between various features in the voice samples observed in PD subjects. To do so, a novel two-level ensemble-based feature selection method has been proposed, whose results were combined with an MLP based classifier using K-fold cross-validation as the re-sampling strategy. Three separate benchmark datasets of voice samples were used for the experimentation work. Results strongly suggest that the proposed feature selection framework helps in identifying an optimal set of features which further helps in highly accurate identification of PD patients using a Multi-Layer Perceptron from their voice samples. The proposed model achieves an overall accuracy of 98.3%, 95.1% and 100% on the three selected datasets respectively. These results are significantly better than those achieved by a non-feature selection based option, and even the recently proposed chi-square based feature selection option.

scholarly journals A feature selection framework for video semantic recognition via integrated cross-media analysis and embedded learning

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Jianguang Zhang ◽  
Yahong Han ◽  
Jianmin Jiang ◽  
Zhongrun Zhou ◽  
Da An ◽  
...  
Keyword(s):  
Feature Selection ◽  
Media Analysis ◽  
Cross Media ◽  
Selection Framework

A clustering‐based feature selection framework for handwritten Indic script classification

2019 ◽  
Vol 36 (6) ◽  
Author(s):  
Iman Chatterjee ◽  
Manosij Ghosh ◽  
Pawan Kumar Singh ◽  
Ram Sarkar ◽  
Mita Nasipuri
Keyword(s):  
Feature Selection ◽  
Selection Framework ◽  
Indic Script

A relative entropy based feature selection framework for asset data in predictive maintenance

2020 ◽  
Vol 145 ◽  
pp. 106536
Author(s):  
Oluseun Omotola Aremu ◽  
Roya Allison Cody ◽  
David Hyland-Wood ◽  
Peter Ross McAree
Keyword(s):  
Feature Selection ◽  
Relative Entropy ◽  
Predictive Maintenance ◽  
Selection Framework ◽  
Asset Data
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