Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment

2014 ◽  
pp. 77-87 ◽  
Author(s):  
Marika Kaden ◽  
W. Hermann ◽  
Thomas Villmann
Keyword(s):  
Classification Learning

Action information from classification learning

2006 ◽  
Author(s):  
Brian H. Ross ◽  
Ranxiao F. Wang ◽  
Arthur F. Kramer ◽  
Daniel J. Simons ◽  
James A. Crowell
Keyword(s):  
Classification Learning

Medication impairs probabilistic classification learning in Parkinson's disease

2010 ◽  
Vol 48 (4) ◽  
pp. 1096-1103 ◽  
Author(s):  
Marjan Jahanshahi ◽  
Leonora Wilkinson ◽  
Harpreet Gahir ◽  
Angeline Dharminda ◽  
David A. Lagnado
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Classification Learning ◽  
Probabilistic Classification

scholarly journals Genre of Bangla Music: A Machine Classification Learning Approach

2019 ◽  
Vol 18 (2) ◽  
pp. 66-72
Author(s):  
Abhijit Bhowmik ◽  
AZM Ehtesham Chowdhury
Keyword(s):  
Classification Systems ◽  
Learning Approach ◽  
Large Set ◽  
Automated Classification ◽  
Classification Learning ◽  
Genre Classification ◽  
Machine Learning Approach ◽  
Music Databases ◽  
East Asian Language

The necessity for designing autonomous indexing tools to establish expressive and efficient means of describing musical media content is well recognized. Music genre classification systems are significant to manage and use music databases. This research paper proposes an enhanced method to automatically classify music into different genre using a machine learning approach and presents the insight and results of the application of the proposed scheme to the classification of a large set of The Bangla music content, a South-East Asian language rich with a variety of music genres developed over many centuries. Building upon musical feature extraction and decision-making techniques, we propose new features and procedures to achieve enhanced accuracy. We demonstrate the efficacy of the proposed method by extracting features from a dataset of hundreds of The Bangla music pieces and testing the automatic classification decisions. This is the first development of an automated classification technique applied specifically to the Bangla music to the best of our knowledge, while the superior accuracy of the method makes it universally applicable.

scholarly journals A test of the regulatory fit hypothesis in perceptual classification learning

2006 ◽  
Vol 34 (7) ◽  
pp. 1377-1397 ◽  
Author(s):  
W. Todd Maddox ◽  
Grant C. Baldwin ◽  
Arthur B. Markman
Keyword(s):  
Regulatory Fit ◽  
Classification Learning ◽  
Perceptual Classification
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