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Multiclass classification
Results: 118

#	Item
51	Composite Multiclass Losses Elodie Vernet ENS Cachan Robert C. Williamson Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-10-26 17:37:59 Decision theory Scoring rule Bayes estimator Support vector machine Statistics Statistical classification Probability and statistics
52	Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features J. Abawajy1 , A.V. Kelarev1 , A. Stranieri2 , H.F. Jelinek3 1 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-11-26 06:31:24 Ensemble learning AdaBoost Classifier Naive Bayes classifier Boosting Multiclass classification Binary classification Support vector machine Random forest Machine learning Statistics Statistical classification
53	1 Training and Approximation of a Primal Multiclass Support Vector Machine Alexander Zien1,2 and Fabio De Bona1 and Cheng Soon Ong1,2 Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical classification Operator theory Machine learning Support vector machines Projection Positive-definite kernel Normal distribution Function Statistics Mathematical analysis Mathematics
54	One-sided Support Vector Regression for Multiclass Cost-sensitive Classification Han-Hsing Tu Hsuan-Tien Lin Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:40 Support vector machine Statistical classification Supervised learning Perceptron Regression analysis Empirical risk minimization Kernel trick Pattern recognition Least squares support vector machine Statistics Machine learning Computational statistics
55	YAKHNENKO, O. AND HONAVAR, V.: MULTI-INSTANCE MULTI-LABEL LEARNING 1 Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2011-08-29 20:36:54 Artificial intelligence Support vector machine Supervised learning Multiclass classification Margin classifier Multiple-instance learning Classifier chains Book:Machine Learning - The Complete Guide Statistics Machine learning Statistical classification
56	AVT-NBL: An Algorithm for Learning Compact and Accurate Na¨ıve Bayes Classifiers from Attribute Value Taxonomies and Data Jun Zhang and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-10-30 21:58:22 Multiclass classification Classifier Classification rule Support vector machine Attribute Statistics Statistical classification Naive Bayes classifier
57	2011 IEEE International Conference on Robotics and Automation Shanghai International Conference Center May 9-13, 2011, Shanghai, China Multi-Class Classification of Vegetation in Natural Environments Using an Unmanned Ae Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Bayesian statistics Neural networks Support vector machine Naive Bayes classifier Linear discriminant analysis Multiclass classification Pattern recognition Normal distribution Artificial neural network Statistics Statistical classification Machine learning
58	Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan · Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-04-02 22:06:30 Ensemble learning Supervised learning Multi-label classification Multiclass classification Regression analysis Feature selection Boosting Correlation and dependence Classifier chains Statistics Machine learning Statistical classification
59	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. Devis Tuiaa , R´emi Flamaryb , Nicolas Courtyc b Laboratoire a Department of Geography, University of Zurich, Switz Add to Reading List Source URL: remi.flamary.com Language: English - Date: 2015-01-14 03:20:20 Infrared imaging Signal processing Filter Hyperspectral imaging Feature selection Support vector machine Linear classifier Electronic filter Statistics Statistical classification Spectroscopy
60	Multiclass Boosting with Hinge Loss based on Output Coding Tianshi Gao Electrical Engineering Department, Stanford, CA[removed]USA Daphne Koller Computer Science Department, Stanford, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2012-08-02 01:49:01 Learning Ensemble learning Support vector machine Multiclass classification Perceptron Hinge loss AdaBoost Cross-validation Statistics Machine learning Statistical classification

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