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,

Source URL: www.anthology.aclweb.org

• Machine learning
• Cognition
• Applied mathematics
• Cognitive science
• Deep learning
• Semi-supervised learning
• Supervised learning
• Feature learning
• Artificial neural network
• Support vector machine
• Deep belief network
• Autoencoder

Semi-Supervised Learning for Natural Language by Percy Liang Submitted to the Department of Electrical Engineering and Computer Science

Source URL: cs.stanford.edu

Traversability Analysis for Mobile Robots in Outdoor Environments: A Semi-Supervised Learning Approach Based on 3D-Lidar Data Benjamin Suger Bastian Steder

Source URL: europa2.informatik.uni-freiburg.de

Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK

Source URL: pages.cs.wisc.edu

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

Source URL: www.kyb.tuebingen.mpg.de

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,

Source URL: nicolas.le-roux.name

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

Source URL: www.keerthis.com

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

Source URL: ir.hit.edu.cn

25 A Discussion of Semi-Supervised Learning and Transduction The following is a fictitious discussion inspired by real discussions between the editors of

Source URL: olivier.chapelle.cc

Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs

Source URL: www.kirshenbaum.net

• Machine learning
• Statistical classification
• Data mining
• Cluster analysis
• Geostatistics
• K-means clustering
• Pattern recognition
• Support vector machine
• Supervised learning
• Naive Bayes classifier
• Determining the number of clusters in a data set
• Semi-supervised learning