Sequence Motif-Based One-Class Classifiers Can Achieve Comparable Accuracy to Two-Class Learners for Plant microRNA Detection

Journal of Biomedical Science and Engineering
doi 10.4236/jbise.2015.810065
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Scientific Research Publishing, Inc,

Related search

Combining Multiple One-Class Classifiers for Anomaly Based Face Spoofing Attack Detection

2019English

One-Class Classifiers Based on Entropic Spanning Graphs

IEEE Transactions on Neural Networks and Learning Systems
Computer NetworksSoftwareComputer Science ApplicationsArtificial IntelligenceCommunications
2017English

Experimental Evaluation of Multiplicative Kernel SVM Classifiers for Multi-Class Detection

2014English

Feature Selection for MicroRNA Target Prediction - Comparison of One-Class Feature Selection Methodologies

2016English

A One-Class SVM Based Tool for Machine Learning Novelty Detection in HVAC Chiller Systems

IFAC Proceedings Volumes
2014English

Image Segmentation With Boosted Multi-Class Classifiers

English

One-Class Classification-Based Acoustic Inspection Method for Canned Foods

2019English

SOM-Based Class Discovery for Emotion Detection Based on DEAP Dataset

International Journal of Software Science and Computational Intelligence
2018English

Context Forest for Object Class Detection

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy