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Yunqian Ma, Ph.D. - Publications

Affiliations: 
2003 University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Electronics and Electrical Engineering, Artificial Intelligence
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9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2009 Cherkassky V, Ma Y. Another look at statistical learning theory and regularization. Neural Networks : the Official Journal of the International Neural Network Society. 22: 958-69. PMID 19443179 DOI: 10.1016/J.Neunet.2009.04.005  0.548
2005 Cherkassky V, Ma Y. Multiple model regression estimation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 16: 785-98. PMID 16121721 DOI: 10.1109/Tnn.2005.849836  0.631
2005 Ma Y, Cherkassky V. Characterization of data complexity for SVM methods Proceedings of the International Joint Conference On Neural Networks. 2: 919-924. DOI: 10.1109/IJCNN.2005.1555975  0.56
2004 Cherkassky V, Ma Y. Practical selection of SVM parameters and noise estimation for SVM regression. Neural Networks : the Official Journal of the International Neural Network Society. 17: 113-26. PMID 14690712 DOI: 10.1016/S0893-6080(03)00169-2  0.599
2004 Cherkassky V, Ma Y, Wechsler H. Multiple regression estimation for motion analysis and segmentation Ieee International Conference On Neural Networks - Conference Proceedings. 4: 2547-2552. DOI: 10.1109/IJCNN.2004.1381043  0.525
2003 Cherkassky V, Ma Y. Comparison of model selection for regression. Neural Computation. 15: 1691-714. PMID 12816572 DOI: 10.1162/089976603321891864  0.628
2003 Ma Y, Cherkassky V. Multiple Model Classification Using SVM-based Approach Proceedings of the International Joint Conference On Neural Networks. 2: 1581-1586.  0.601
2003 Cherkassky V, Ma Y, Tang J. Model Selection for K-Nearest Neighbors Regression Using VC Bounds Proceedings of the International Joint Conference On Neural Networks. 2: 1143-1148.  0.585
2002 Cherkassky V, Ma Y. Selection of meta-parameters for support vector regression Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 687-693.  0.587
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