标题
Feature–granularity selection with variable costs for hybrid data
作者
关键词
Adaptive neighborhood, Feature–granularity selection, Hybrid data, Measurement errors, Variable costs
出版物
SOFT COMPUTING
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-02-21
DOI
10.1007/s00500-019-03854-2
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs
- (2018) Shujiao Liao et al. KNOWLEDGE-BASED SYSTEMS
- Cost-sensitive feature selection via the ℓ2,1-norm
- (2018) Hong Zhao et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification
- (2017) Yong Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Large Margin Distribution Learning with Cost Interval and Unlabeled Data
- (2016) Yu-Hang Zhou et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features
- (2016) Qifeng Zhou et al. KNOWLEDGE-BASED SYSTEMS
- Multi-criteria feature selection on cost-sensitive data with missing values
- (2016) Wenhao Shu et al. PATTERN RECOGNITION
- Fast algorithms for computing rough approximations in set-valued decision systems while updating criteria values
- (2015) Chuan Luo et al. INFORMATION SCIENCES
- Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models
- (2014) Degang Chen et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Optimal cost-sensitive granularization based on rough sets for variable costs
- (2014) Hong Zhao et al. KNOWLEDGE-BASED SYSTEMS
- Feature selection with test cost constraint
- (2013) Fan Min et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem
- (2012) Parag C. Pendharkar EXPERT SYSTEMS WITH APPLICATIONS
- Minimum cost attribute reduction in decision-theoretic rough set models
- (2012) Xiuyi Jia et al. INFORMATION SCIENCES
- An efficient rough feature selection algorithm with a multi-granulation view
- (2012) Jiye Liang et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Test-cost-sensitive attribute reduction
- (2011) Fan Min et al. INFORMATION SCIENCES
- The CASH algorithm-cost-sensitive attribute selection using histograms
- (2011) Yael Weiss et al. INFORMATION SCIENCES
- Uncertainty measurement for interval-valued decision systems based on extended conditional entropy
- (2011) Jianhua Dai et al. KNOWLEDGE-BASED SYSTEMS
- Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning
- (2010) Tao Wang et al. JOURNAL OF SYSTEMS AND SOFTWARE
- A novel hybrid feature selection via Symmetrical Uncertainty ranking based local memetic search algorithm
- (2010) S. Senthamarai Kannan et al. KNOWLEDGE-BASED SYSTEMS
- Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization
- (2009) Qinghua Hu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Neighborhood rough set based heterogeneous feature subset selection
- (2008) Qinghua Hu et al. INFORMATION SCIENCES
- Attribute reduction in decision-theoretic rough set models
- (2008) Yiyu Yao et al. INFORMATION SCIENCES
- A comparison of two types of rough sets induced by coverings
- (2008) Guilong Liu et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now