Coverage Optimized Active Learning for k-NN Classifiers

First Page		Document Content
Date: 2012-10-23 14:04:06 Search algorithms Statistical classification Dimension reduction Approximation algorithms Submodular set function Support vector machine K-nearest neighbor algorithm Greedy algorithm Margin classifier Mathematics Statistics Machine learning		Coverage Optimized Active Learning for k-NN Classifiers Add to Reading List Source URL: www.merl.com Download Document from Source Website File Size: 347,36 KB Share Document on Facebook

	Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015 DocID: 1uEDY - View Document
	Support Vector Machines and Kernel Methods Shrey Gupta Applied Machine Learning (HOUSECS 59-01), Duke University October 10, 2018 DocID: 1uA0f - View Document
	Robust Truncated Hinge Loss Support Vector Machines Yichao W U and Yufeng L IU The support vector machine (SVM) has been widely applied for classification problems in both machine learning and statistics. Despite its pop DocID: 1uuGd - View Document
	Support Vector Machine for Anti-Pattern Detection Abdou Maiga1,3 , Nasir Ali1,2 , Neelesh Bhattacharya1,2 , Aminata Sabané1,2 Yann-Gaël Guéhéneuc1 , Giuliano Antoniol2 , and Esma Aimeur3 1 Ptidej Team, DGIGL, École DocID: 1tZPb - View Document
	Support Vector Machine Mohammad Emtiyaz Khan EPFL Oct 29, 2015 DocID: 1tVBH - View Document