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Direct 0-1 Loss Minimization and Margin Maximization with Boosting.

S. Zhai, T. Xia, M. Tan, and S. Wang. NIPS, page 872-880. (2013)

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Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.C. Lee, S. Wang, F. Jiao, D. Schuurmans, and R. Greiner. NIPS, page 793-800. MIT Press, (2006)A run-time built-in approach of TID test in SRAM based FPGAs.N. Ma, S. Wang, D. Liu, and Y. Peng. Microelectronics Reliability, (2016)Learning Continuous Latent Variable Models with Bregman Divergences.S. Wang, and D. Schuurmans. ALT, volume 2842 of Lecture Notes in Computer Science, page 190-204. Springer, (2003)Slim Embedding Layers for Recurrent Neural Language Models.Z. Li, R. Kulhanek, S. Wang, Y. Zhao, and S. Wu. AAAI, page 5220-5228. AAAI Press, (2018)Measurement Error Compensation Using Data Fusion Technique for Laser Scanner on AACMMs.L. Wang, H. Ding, and S. Wang. ICIRA (2), volume 6425 of Lecture Notes in Computer Science, page 576-586. Springer, (2010)Segmenting Brain Tumors Using Pseudo-Conditional Random Fields.C. Lee, S. Wang, A. Murtha, M. Brown, and R. Greiner. MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 359-366. Springer, (2008)A Direct Boosting Approach for Semi-supervised Classification.S. Zhai, T. Xia, Z. Li, and S. Wang. IJCAI, page 4025-4032. AAAI Press, (2015)Direct optimization of ranking measures for learning to rank models.M. Tan, T. Xia, L. Guo, and S. Wang. KDD, page 856-864. ACM, (2013)A Novel Approach to Lighten the Onboard Hyperspectral Anomaly Detector.N. Ma, Y. Peng, S. Wang, and J. Dong. WISATS (2), volume 281 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 432-445. Springer, (2019)Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators.Z. Li, T. Xia, X. Lou, K. Xu, S. Wang, and J. Xiao. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3089-3098. PMLR, (2019)

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Disambiguation of "Wang, Shaojun"

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Direct 0-1 Loss Minimization and Margin Maximization with Boosting.

Please choose a person to relate this publication to

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Wang, Shaojun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Direct 0-1 Loss Minimization and Margin Maximization with Boosting.

Please choose a person to relate this publication to

Zhe Wang University of Stuttgart

Dr. Dongren Wang University of Stuttgart

Dr. rer. nat. Lei Wang University of Stuttgart

Yi Wang University of Stuttgart

Yao Wang University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Direct 0-1 Loss Minimization and Margin Maximization with Boosting.