artificial-build-D-SMO.eps

First Page		Document Content
Date: 2011-05-27 05:37:42 Statistical classification Artificial intelligence Machine learning Learning Classifier chains Multi-label classification Probabilistic classification Support vector machine K-nearest neighbors algorithm Naive Bayes classifier Boosting AdaBoost		artificial-build-D-SMO.eps Add to Reading List Source URL: users.ics.aalto.fi Download Document from Source Website File Size: 263,85 KB Share Document on Facebook

	Using multi-label classification methods to classify finger movements for hand prosthesis control Petter Björklund 2017 Department of Biomedical Engineering, Lund University Losing a limb is a traumatic experience that DocID: 1vnVe - View Document
	On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property Maxime Gasse Alex Aussem Haytham Elghazel DocID: 1tTx6 - View Document
	Determining Word–Emotion Associations from Tweets by Multi-Label Classification Felipe Bravo-Marquez∗ , Eibe Frank∗ , Saif M. Mohammad† and Bernhard Pfahringer∗ ∗ Department of Computer Science, The Universi DocID: 1t6Bi - View Document
	Multi-label Classification using Ensembles of Pruned Sets Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato New Zealand ICDM 2008, December 15, 2008. Pisa, Italy DocID: 1sK7X - View Document
	On-line Multi-label Classification A Problem Transformation Approach Jesse Read Supervisors: Bernhard Pfahringer, Geoff Holmes DocID: 1sAFR - View Document