Work on Multi-label Classification

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Date: 2011-06-16 05:48:23 Statistical classification Machine learning Classifier chains Multi-label classification Multiclass classification Binary classification Classifier Supervised learning		Work on Multi-label Classification Add to Reading List Source URL: users.ics.aalto.fi Download Document from Source Website File Size: 443,83 KB Share Document on Facebook

	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Multi-Dimensional Classification with Super-Classes Jesse Read, Concha Bielza, Member, IEEE, Pedro Larra˜naga, Member, IEEE, DocID: 1rnBc - View Document
	Multi-label Classification with Classifier Chains Jesse Read Aalto University School of Science, Department of Information and Computer Science and Helsinki Institute for Information Technology Helsinki, Finland DocID: 1rder - View Document
	On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes DocID: 1ragU - View Document
	Classification and Learning for Character Recognition: Comparison of Methods and Remaining Problems Cheng-Lin Liu National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences P.O DocID: 1r88X - View Document
	Appendix A. Introduction to Binary Support Vector Machines Below we summarize the main ideas behind binary Support Vector Machines via a short theoretical description followed by an example. For a detailed review of SVMs DocID: 1qWBp - View Document