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Semi-supervised learning
Results: 318

#	Item
31	Microsoft PowerPoint - active-learning.pptx Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-11-20 14:52:04 Machine learning Statistical classification Semi-supervised learning Draft:Active Learning
32	Exploiting Social Context for Review Quality Prediction Yue Lu∗ Panayiotis Tsaparas Alexandros Ntoulas Add to Reading List Source URL: www.cs.uoi.gr Language: English - Date: 2011-11-03 14:00:14 Statistics Machine learning Reputation management Statistical theory Learning Regression analysis Estimation theory Manifold regularization Support vector machine Linear regression Semi-supervised learning PageRank
33	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2012-11-13 20:10:21 Learning Machine learning Artificial intelligence Statistical classification Support vector machine Kernel method Supervised learning Pattern recognition Semi-supervised learning Positive-definite kernel Binary classification Decision boundary
34	Learning from Ambiguously Labeled Images Timothee Cour, Benjamin Sapp, Chris Jordan, Ben Taskar University of Pennsylvania 3330, Walnut Street {timothee,bensapp,wjc,taskar}@seas.upenn.edu Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2009-04-22 15:14:38 Statistical classification Machine learning Learning Artificial intelligence Semi-supervised learning Support vector machine Supervised learning K-nearest neighbors algorithm Linear classifier Multi-label classification Cross entropy Hinge loss
35	Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-11-04 10:51:45 Machine learning Manifold regularization Semi-supervised learning Supervised learning Stability Pattern recognition Support vector machine Linear classifier Multiple instance learning Loss function Statistical learning theory Generalization error
36	Labeled Faces in the Wild: A Survey Erik Learned-Miller, Gary Huang, Aruni RoyChowdhury, Haoxiang Li, Gang Hua Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in face recognition, s Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2015-08-15 14:59:56 Face recognition Computational neuroscience Machine learning Biometrics Computer vision Facial recognition system Face Recognition Grand Challenge Convolutional neural network Semi-supervised learning Artificial neural network
37	Core Machine Learning Techniques for Information Retrieval Luo Si Rong Jin Add to Reading List Source URL: www.sigir2011.org Language: English - Date: 2011-07-24 21:02:12 Machine learning Supervised learning Pattern recognition Learning to rank Semi-supervised learning Dimensionality reduction Deep learning Feature learning
38	2011 10th International Conference on Machine Learning and Applications Max-Coupled Learning: Application To Breast Cancer Jaime S. Cardoso and Inˆes Domingues Add to Reading List Source URL: medicalresearch.inescporto.pt Language: English - Date: 2012-08-01 08:47:41 Machine learning Semi-supervised learning Test set Co-training Supervised learning Multiple instance learning Artificial neural network Support vector machine Online machine learning
39	Journal of Machine Learning Research1261 Submitted 10/10; Revised 2/11; Published 4/11 Learning from Partial Labels Timothee Cour Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-05-16 14:15:28 Machine learning Semi-supervised learning Support vector machine Supervised learning Multi-label classification Multiple instance learning Stability
40	DETECTING UNSAFE DRIVING PATTERNS USING DISCRIMINATIVE LEARNING Yue Zhou†, Wei Xu‡, Huazhong Ning†, Yihong Gong‡, Thomas S. Huang† †Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61 Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-05-05 15:25:20 Machine learning Conditional random field Pattern recognition Supervised learning Hidden Markov model Support vector machine Semi-supervised learning Expectationmaximization algorithm Mixture model Artificial neural network Viterbi algorithm