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Supervised learning
Results: 1557

#	Item
311	Deep Learning via Semi-Supervised Embedding Jason Weston∗ Fr´ ed´ eric Ratle† Add to Reading List Source URL: www.thespermwhale.com - Date: 2011-05-05 12:04:07
312	PARENTAL GUIDANCE AND SUPERVISED LEARNING∗ Alessandro Lizzeri Marciano Siniscalchi October 31, 2007 Add to Reading List Source URL: www.econ.nyu.edu Language: English - Date: 2007-11-01 12:04:00
313	Deterministic Annealing for Semi-Supervised Structured Output Learning Paramveer S. Dhillon Computer & Information Science University of Pennsylvania Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2012-01-25 12:12:28
314	Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese Department of Electrical Engineering and Computer Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2013-04-29 17:28:39
315	The delta rule Sebastian Seung Supervised learning •  How to learn this task with an LT Add to Reading List Source URL: seunglab.org Language: English - Date: 2015-02-08 12:11:13
316	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-06-28 15:00:37
317	Instance-level Semi-supervised Multiple Instance Learning Yangqing Jia and Changshui Zhang State Key Laboratory on Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (T Add to Reading List Source URL: daggerfs.com Language: English
318	Cross-situational and supervised learning in the emergence of communication José F. Fontanari Instituto de Física de São Carlos, Universidade de São Paulo, Add to Reading List Source URL: www.tech.plym.ac.uk Language: English - Date: 2011-09-27 06:11:00
319	2014 4th International Workshop on Pattern Recognition in Neuroimaging 121 Semi-supervised learning in MCI-to-AD conversion prediction - When is unlabeled data useful? Add to Reading List Source URL: www.cs.tut.fi Language: English - Date: 2014-06-09 15:44:24
320	Call for Participation: Beyond correlations: Developments in supervised learning algorithms for spiking neural networks Workshop at ICANN 2011, Helsinki, , Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2011-05-12 09:25:10

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