Classification of SchoolNet Data Yanmin Sun Mohamed S. Kamel Andrew K. C. Wong PAMI Lab, University of Waterloo Waterloo, Ontario, Canada sunym,mkamel,[removed]

First Page		Document Content
Date: 2006-10-26 11:14:00 C4.5 algorithm Statistical classification Precision and recall Information retrieval AdaBoost Classification rule Pattern recognition Document classification Confusion matrix Statistics Machine learning Artificial intelligence		Classification of SchoolNet Data Yanmin Sun Mohamed S. Kamel Andrew K. C. Wong PAMI Lab, University of Waterloo Waterloo, Ontario, Canada sunym,mkamel,[removed] Add to Reading List Source URL: www.lornet.ca Download Document from Source Website File Size: 123,40 KB Share Document on Facebook

	Beyond Precision and Recall: Understanding Uses (and Misuses) of Similarity Hashes in Binary Analysis DocID: 1v0jv - View Document
	Published on WebProtein NMR Recall, Precision, and F-measure Scores (RPF Scores): Structure Quality Assessment Measures Based on Information Retrieval Statistics Yuanpeng J. Huang,† Robert Powers,‡ and G DocID: 1tXfx - View Document
	The Fifth International Workshop on Evaluating Information Access (EVIA), June 18, 2013, Tokyo, Japan Evaluating Contextual Suggestion Adriel Dean-Hall Waterloo DocID: 1rtTX - View Document
	CUNI at MediaEval 2015 Search and Anchoring in Video Archives: Anchoring via Information Retrieval Petra Galušˇcáková and Pavel Pecina Charles University in Prague Faculty of Mathematics and Physics Institute of Form DocID: 1rpdX - View Document
	MedSearch: A Retrieval System for Medical Information Based on Semantic Similarity Angelos Hliaoutakis1 , Giannis Varelas1 , Euripides G.M. Petrakis1 , and Evangelos Milios2 1 DocID: 1roZG - View Document