An experimental analysis on time series transductive classification on graphs
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Celso André R. de Sousa | Vinícius M. A. de Souza | Gustavo E. A. P. A. Batista | Vinicius M. A. Souza | C. A. R. Sousa
[1] Celso André R. de Sousa,et al. An overview on the Gaussian Fields and Harmonic Functions method for semi-supervised learning , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[2] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[3] Gustavo E. A. P. A. Batista,et al. Robust Multi-class Graph Transduction with higher order regularization , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[4] Matthias Hein,et al. Manifold Denoising , 2006, NIPS.
[5] Celso André R. de Sousa,et al. Influence of Graph Construction on Semi-supervised Learning , 2013, ECML/PKDD.
[6] Li Wei,et al. Semi-supervised time series classification , 2006, KDD '06.
[7] Wei Liu,et al. Large Graph Construction for Scalable Semi-Supervised Learning , 2010, ICML.
[8] Celso André R. de Sousa,et al. Time Series Transductive Classification on Imbalanced Data Sets: An Experimental Study , 2014, 2014 22nd International Conference on Pattern Recognition.
[9] Eamonn J. Keogh,et al. Experimental comparison of representation methods and distance measures for time series data , 2010, Data Mining and Knowledge Discovery.
[10] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[11] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[12] Ulrike von Luxburg,et al. Graph Laplacians and their Convergence on Random Neighborhood Graphs , 2006, J. Mach. Learn. Res..
[13] Shih-Fu Chang,et al. Graph construction and b-matching for semi-supervised learning , 2009, ICML '09.
[14] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[15] Hui Ding,et al. Querying and mining of time series data: experimental comparison of representations and distance measures , 2008, Proc. VLDB Endow..
[16] Mikhail Belkin,et al. Laplacian Support Vector Machines Trained in the Primal , 2009, J. Mach. Learn. Res..
[17] Zoubin Ghahramani,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[18] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[19] Wei Liu,et al. Robust multi-class transductive learning with graphs , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Tong Zhang,et al. On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning , 2007, J. Mach. Learn. Res..