Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs Nicolas Heess1 , Nicolas Le Roux2 , and John Winn3 1

Source URL: nicolas.le-roux.name

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

Supervised Learning for Dynamical System Learning Ahmed Hefny ∗ Carnegie Mellon University Pittsburgh, PA 15213

Source URL: papers.nips.cc

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

Selecting Near-Optimal Learners via Incremental Data Allocation Ashish Sabharwal Horst Samulowitz and Gerald Tesauro Allen Institute for AI

Source URL: ai2-website.s3.amazonaws.com

• Statistical classification
• Support vector machine
• Supervised learning
• XTR
• Machine learning
• Perceptron
• Linear discriminant analysis

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

Supervised Dictionary Learning Julien Mairal INRIA-Willow project Jean Ponce

Source URL: www.di.ens.fr