Learning by Transduction

30 January 2013

Papers citing "Learning by Transduction"

29 / 129 papers shown

Title
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets Christopher Kath F. Ziel AI4TS 49 49 0 20 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 223 3,046 0 06 May 2019
Deep Sparse Representation-based Classification Mahdi Abavisani Vishal M. Patel BDL 43 29 0 24 Apr 2019
Ensemble Teaching for Hybrid Label Propagation Chen Gong Dacheng Tao Xiaojun Chang Jian Yang 31 30 0 08 Apr 2019
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification Lu Bai Lixin Cui Yuhang Jiao Luca Rossi Edwin R. Hancock GNN 53 58 0 06 Apr 2019
Sparse Learning for Variable Selection with Structures and Nonlinearities Magda Gregorova 67 1 0 26 Mar 2019
Grammar Based Directed Testing of Machine Learning Systems Sakshi Udeshi Sudipta Chattopadhyay 74 15 0 26 Feb 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 30 1 0 26 Feb 2019
Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs) Pan Li Niao He O. Milenkovic 113 26 0 26 Feb 2019
Reduced-Rank Local Distance Metric Learning for k-NN Classification Yinjie Huang Cong Li M. Georgiopoulos G. Anagnostopoulos 117 25 0 21 Feb 2019
Learning Representations of Social Media Users Adrian Benton 48 1 0 02 Dec 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 61 20 0 09 Nov 2018
Graph Convolutional Neural Networks based on Quantum Vertex Saliency Lu Bai Yuhang Jiao Luca Rossi Lixin Cui Yue Wang Edwin R. Hancock GNN 18 32 0 04 Sep 2018
Quadratic Decomposable Submodular Function Minimization Pan Li Niao He O. Milenkovic 115 14 0 26 Jun 2018
Clustering With Pairwise Relationships: A Generative Approach Yen-Yun Yu Shireen Y. Elhabian Ross T. Whitaker 11 1 0 06 May 2018
Self-Taught Support Vector Machine Parvin Razzaghi OOD 37 0 0 12 Oct 2017
A Summary Of The Kernel Matrix, And How To Learn It Effectively Using Semidefinite Programming Amir-Hossein Karimi 23 3 0 18 Sep 2017
Target contrastive pessimistic risk for robust domain adaptation Wouter M. Kouw Marco Loog 15 2 0 25 Jun 2017
Unsupervised Domain Adaptation with Random Walks on Target Labelings Twan van Laarhoven E. Marchiori OOD 46 1 0 16 Jun 2017
Risk Bounds for High-dimensional Ridge Function Combinations Including Neural Networks Jason M. Klusowski Andrew R. Barron 139 70 0 05 Jul 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning Jiaming Song Zhe Gan Lawrence Carin 55 10 0 22 May 2016
Unsupervised Transductive Domain Adaptation Ozan Sener Hyun Oh Song Ashutosh Saxena Silvio Savarese OOD 26 6 0 10 Feb 2016
Scalable Text Mining with Sparse Generative Models Antti Puurula SyDa 25 2 0 07 Feb 2016
Universum Prescription: Regularization using Unlabeled Data Xiang Zhang Yann LeCun 123 31 0 11 Nov 2015
Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors Y. Hou 34 3 0 29 Aug 2015
Regression Conformal Prediction with Nearest Neighbours Harris Papadopoulos V. Vovk A. Gammerman 330 185 0 16 Jan 2014
MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction Dan He Irina Rish David Haws S. Teyssedre Zivan Karaman L. Parida 47 22 0 07 Oct 2013
Examining the Classification Accuracy of TSVMs with ?Feature Selection in Comparison with the GLAD Algorithm Hala Helmi J. Garibaldi U. Aickelin 46 1 0 04 Jul 2013
On the trasductive arguments in statistics Yaácov Ritov 65 0 0 07 Mar 2010