Semi-supervised learning based on nearest neighbor rule and cut edges
暂无分享,去创建一个
Zhongsheng Hua | Haifeng Zhao | Xiaoyan Xu | Yu Wang | Zhongsheng Hua | Haifeng Zhao | Xiaoyan Xu | Yu Wang
[1] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[2] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[3] Rayid Ghani,et al. Analyzing the effectiveness and applicability of co-training , 2000, CIKM '00.
[4] Yuanqing Li,et al. A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system , 2008, Pattern Recognit. Lett..
[5] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[6] Zhi-Hua Zhou,et al. SETRED: Self-training with Editing , 2005, PAKDD.
[7] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[8] Rosie Jones,et al. Learning to Extract Entities from Labeled and Unlabeled Text , 2005 .
[9] Fabrice Muhlenbach,et al. Identifying and Handling Mislabelled Instances , 2004, Journal of Intelligent Information Systems.
[10] Naonori Ueda,et al. A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design , 2005, AAAI.
[11] Xiaojin Zhu,et al. Semi-Supervised Learning Literature Survey , 2005 .
[12] Chang-Hwan Lee. Improving classification performance using unlabeled data: Naive Bayesian case , 2007, Knowl. Based Syst..
[13] Fabio Gagliardi Cozman,et al. Semi-Supervised Learning of Mixture Models and Bayesian Networks , 2003 .
[14] Bogdan Gabrys,et al. Combining labelled and unlabelled data in the design of pattern classification systems , 2004, Int. J. Approx. Reason..
[15] Fei Wang,et al. Robust self-tuning semi-supervised learning , 2007, Neurocomputing.
[16] Qiang Yang,et al. Semi-Supervised Learning with Very Few Labeled Training Examples , 2007, AAAI.
[17] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[18] Nitesh V. Chawla,et al. Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains , 2011, J. Artif. Intell. Res..
[19] Ayhan Demiriz,et al. Semi-Supervised Support Vector Machines , 1998, NIPS.
[20] Sungzoon Cho,et al. Locally linear reconstruction for instance-based learning , 2008, Pattern Recognit..
[21] Avrim Blum,et al. Learning from Labeled and Unlabeled Data using Graph Mincuts , 2001, ICML.
[22] Carla E. Brodley,et al. Identifying Mislabeled Training Data , 1999, J. Artif. Intell. Res..
[23] Dimitrios Gunopulos,et al. Locally Adaptive Metric Nearest-Neighbor Classification , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Tijl De Bie,et al. Semi-Supervised Learning Using Semi-Definite Programming , 2006, Semi-Supervised Learning.
[25] Thomas Hofmann,et al. Semi-supervised Learning on Directed Graphs , 2004, NIPS.