51![Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park, Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,](https://www.pdfsearch.io/img/e67474a750ba6647dd9ab63c0a43c928.jpg) | Add to Reading ListSource URL: www.anthology.aclweb.orgLanguage: English - Date: 2015-09-09 11:04:44
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52![Semi-Supervised Learning for Natural Language by Percy Liang Submitted to the Department of Electrical Engineering and Computer Science Semi-Supervised Learning for Natural Language by Percy Liang Submitted to the Department of Electrical Engineering and Computer Science](https://www.pdfsearch.io/img/b784fa25b434b48c75a782126b6659d6.jpg) | Add to Reading ListSource URL: cs.stanford.eduLanguage: English - Date: 2011-08-15 11:15:48
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53![Traversability Analysis for Mobile Robots in Outdoor Environments: A Semi-Supervised Learning Approach Based on 3D-Lidar Data Benjamin Suger Bastian Steder Traversability Analysis for Mobile Robots in Outdoor Environments: A Semi-Supervised Learning Approach Based on 3D-Lidar Data Benjamin Suger Bastian Steder](https://www.pdfsearch.io/img/1f97ca80e62c45eac48a41ad17f1ef80.jpg) | Add to Reading ListSource URL: europa2.informatik.uni-freiburg.deLanguage: English - Date: 2015-09-26 09:59:57
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54![Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK](https://www.pdfsearch.io/img/a15ac00d7dbac1b08acf9102f1eef129.jpg) | Add to Reading ListSource URL: pages.cs.wisc.eduLanguage: English - Date: 2005-08-01 22:33:31
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55![Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data Eberhard Karls Universit¨at T¨ubingen Fakult¨at f¨ur Informations- und Kognitionswissenschaften Wilhelm-Schi Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data Eberhard Karls Universit¨at T¨ubingen Fakult¨at f¨ur Informations- und Kognitionswissenschaften Wilhelm-Schi](https://www.pdfsearch.io/img/d651fd1e3b22f9ef9b98648d9fd1619e.jpg) | Add to Reading ListSource URL: www.kyb.tuebingen.mpg.deLanguage: English - Date: 2011-01-20 08:13:31
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56![Efficient Non-Parametric Function Induction in Semi-Supervised Learning Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux Dept. IRO, Universit´e de Montr´eal P.O. Box 6128, Succ. Centre-Ville, Montreal, H3C 3J7, Qc, Efficient Non-Parametric Function Induction in Semi-Supervised Learning Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux Dept. IRO, Universit´e de Montr´eal P.O. Box 6128, Succ. Centre-Ville, Montreal, H3C 3J7, Qc,](https://www.pdfsearch.io/img/49a93fd7887017fcf823558d9682152a.jpg) | Add to Reading ListSource URL: nicolas.le-roux.nameLanguage: English - Date: 2011-05-05 09:32:05
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57![Tractable Semi-Supervised Learning of Complex Structured Prediction Models Kai-Wei Chang1 , S. Sundararajan2 , and S. Sathiya Keerthi3 1 Dept. of Computer Science, University of Illinois at Urbana-Champaign, IL USA Tractable Semi-Supervised Learning of Complex Structured Prediction Models Kai-Wei Chang1 , S. Sundararajan2 , and S. Sathiya Keerthi3 1 Dept. of Computer Science, University of Illinois at Urbana-Champaign, IL USA](https://www.pdfsearch.io/img/b2e57967a76ec0ceeeb8fa8f125de99a.jpg) | Add to Reading ListSource URL: www.keerthis.comLanguage: English - Date: 2013-06-29 03:30:34
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58![Revisiting Embedding Features for Simple Semi-supervised Learning † Jiang Guo† , Wanxiang Che† , Haifeng Wang‡ , Ting Liu†∗ Research Center for Social Computing and Information Retrieval Harbin Institute of T Revisiting Embedding Features for Simple Semi-supervised Learning † Jiang Guo† , Wanxiang Che† , Haifeng Wang‡ , Ting Liu†∗ Research Center for Social Computing and Information Retrieval Harbin Institute of T](https://www.pdfsearch.io/img/ec6dfbe31725337ee9ec4f84456006ec.jpg) | Add to Reading ListSource URL: ir.hit.edu.cnLanguage: English - Date: 2014-11-16 04:27:28
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59![25 A Discussion of Semi-Supervised Learning and Transduction The following is a fictitious discussion inspired by real discussions between the editors of 25 A Discussion of Semi-Supervised Learning and Transduction The following is a fictitious discussion inspired by real discussions between the editors of](https://www.pdfsearch.io/img/5366a7ff056e1cf2522d6a7eba3050e0.jpg) | Add to Reading ListSource URL: olivier.chapelle.ccLanguage: English - Date: 2011-03-03 12:53:54
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60![Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs](https://www.pdfsearch.io/img/840f63ff5ee4b034aa3299d6404048a5.jpg) | Add to Reading ListSource URL: www.kirshenbaum.netLanguage: English - Date: 2014-02-14 19:39:21
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