Classification of imbalanced bioinformatics data by using boundary movement-based ELM.
Cheng, Ke
Classification of imbalanced bioinformatics data by using boundary movement-based ELM. [electronic resource] - Bio-medical materials and engineering 2015 - S1855-62 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1878-3619
10.3233/BME-151488 doi
Algorithms
Computer Simulation
Data Mining--methods
Databases, Genetic
High-Throughput Nucleotide Sequencing--methods
Machine Learning
Models, Genetic
Models, Statistical
Pattern Recognition, Automated--methods
Sequence Alignment--methods
Sequence Analysis--methods
Support Vector Machine
Classification of imbalanced bioinformatics data by using boundary movement-based ELM. [electronic resource] - Bio-medical materials and engineering 2015 - S1855-62 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1878-3619
10.3233/BME-151488 doi
Algorithms
Computer Simulation
Data Mining--methods
Databases, Genetic
High-Throughput Nucleotide Sequencing--methods
Machine Learning
Models, Genetic
Models, Statistical
Pattern Recognition, Automated--methods
Sequence Alignment--methods
Sequence Analysis--methods
Support Vector Machine