Hierarchical feature selection with multi-granularity clustering structure

Clustering method for production of Z-number based if-then rules

(2020) R.A. Aliev et al.   INFORMATION SCIENCES

GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification

(2020) Shuyin Xia et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A novel hybrid genetic algorithm with granular information for feature selection and optimization

(2018) Hongbin Dong et al.   APPLIED SOFT COMPUTING

Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs

(2018) Shujiao Liao et al.   KNOWLEDGE-BASED SYSTEMS

Incremental Subgraph Feature Selection for Graph Classification

(2017) Haishuai Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Protein Folds Prediction with Hierarchical Structured SVM

(2016) Dapeng Li et al.   Current Proteomics

Effectiveness of the Euclidean distance in high dimensional spaces

(2015) Shuyin Xia et al.   OPTIK

Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification

(2015) Siddharth Gopal et al.   ACM Transactions on Knowledge Discovery from Data

Attribute-Augmented Semantic Hierarchy

(2014) Hanwang Zhang et al.   ACM Transactions on Multimedia Computing Communications and Applications

Evaluation measures for hierarchical classification: a unified view and novel approaches

(2014) Aris Kosmopoulos et al.   DATA MINING AND KNOWLEDGE DISCOVERY

SUN Database: Exploring a Large Collection of Scene Categories

(2014) Jianxiong Xiao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Feature-Selected Tree-Based Classification

(2013) Cecille Freeman et al.   IEEE Transactions on Cybernetics

An efficient rough feature selection algorithm with a multi-granulation view

(2012) Jiye Liang et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Hierarchical annotation of medical images

(2011) Ivica Dimitrovski et al.   PATTERN RECOGNITION

A survey of hierarchical classification across different application domains

(2010) Carlos N. Silla et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A learning approach to hierarchical feature selection and aggregation for audio classification

(2010) Paul Ruvolo et al.   PATTERN RECOGNITION LETTERS

L 1/2 regularization

(2010) ZongBen Xu et al.   Science China-Information Sciences

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Boosting multi-label hierarchical text categorization

(2008) Andrea Esuli et al.   Information Retrieval Journal