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Semi-supervised learning Active learning Supervised learning Statistical classification Pattern recognition Book:Machine Learning - The Complete Guide Machine learning Artificial intelligence Learning		Add to Reading List Source URL: pages.cs.wisc.edu Download Document from Source Website Share Document on Facebook

	Chapter 2 I nducti ve Learni ng This chapter presents an overview of the research in inductive learning. We briefly describe the various aspects of this scientific field and present some examples of applications. We the DocID: 1rdV9 - View Document
	logistic regression decision trees pre-pruning global contextual DocID: 1q5iU - View Document
	ICONIP2015 PROGRAM Renaissance Polat Istanbul Hotel 08 NovemberSunday) 13:00-18:00 The Registration Desk Open DocID: 1oT5N - View Document
	Special Session on Evolutionary Machine Learning for Image Analysis and Pattern Recognition Organisers:  Muhammad Iqbal School of Engineering and Computer Science, Victoria University of Wellington, New Zealand. Email DocID: 1oSF9 - View Document
	AUTOMATIC MAP FEATURE EXTRACTION USING ARTIFICIAL NEURAL NETWORKS Itthi Trisirisatayawong and Mark R. Shortis Department of Geomatics University of Melbourne Parkville VIC 3052 AUSTRALIA DocID: 1ouP0 - View Document