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Publication search results
found 42 matches
- 2023
- Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Evaluating Classification Model Against Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9639-9653 (2023) - 2022
- Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová:
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR abs/2201.12655 (2022) - 2021
- Shingo Yashima, Atsushi Nitanda, Taiji Suzuki:
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features. AISTATS 2021: 1954-1962 - Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard, Marie-Laure Martin-Magniette:
Error rate control for classification rules in multiclass mixture models. CoRR abs/2109.14235 (2021) - 2019
- Atsushi Nitanda, Taiji Suzuki:
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors. AISTATS 2019: 1417-1426 - Shingo Yashima, Atsushi Nitanda, Taiji Suzuki:
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features. CoRR abs/1911.05350 (2019) - 2018
- Barry Fitzgerald, Jeannie Fitzgerald, Conor Ryan, Joe Sullivan:
A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction. AMLTA 2018: 385-394 - Morteza Noshad, Alfred O. Hero III:
Rate-Optimal Meta Learning of Classification Error. ICASSP 2018: 2481-2485 - Atsushi Nitanda, Taiji Suzuki:
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors. CoRR abs/1806.05438 (2018) - 2017
- Morteza Noshad Iranzad, Alfred O. Hero III:
Rate-optimal Meta Learning of Classification Error. CoRR abs/1710.11315 (2017) - 2016
- Mari van Reenen, Carolus J. Reinecke, Johan A. Westerhuis, J. Hendrik Venter:
Variable selection for binary classification using error rate p-values applied to metabolomics data. BMC Bioinform. 17: 33 (2016) - Mindaugas Gvardinskas:
Combined classification error rate estimator for the Fisher linear classifier. Inf. Technol. Control. 45(4): 419-429 (2016) - Mindaugas Gvardinskas, Minija Tamosiunaite:
Approximation of unbiased convex classification error rate estimator. Inf. Technol. Control. 45(2): 148-155 (2016) - Mindaugas Gvardinskas:
A New Estimator of the Mahalanobis Distance and its Application to Classification Error Rate Estimation. ICIST 2016: 319-331 - 2015
- Narayanaswamy Balakrishnan, Majid Mojirsheibani:
A simple method for combining estimates to improve the overall error rates in classification. Comput. Stat. 30(4): 1033-1049 (2015) - Kestutis Ducinskas, Egle Zikariene:
Actual Error Rates in Classification of the T-Distributed Random Field Observation Based on Plug-in Linear Discriminant Function. Informatica 26(4): 557-568 (2015) - Mindaugas Gvardinskas:
Weighted Classification Error Rate Estimator for the Euclidean Distance Classifier. ICIST 2015: 343-355 - 2014
- Bostjan Brumen, Ivan Rozman, Ales Cernezel:
Modeling of classification error rate based on neural networks learners. EJC 2014: 41-52 - Zhiyang He, Ping Lv, Ji Wu:
Minimum classification error rate training of supervised topic mixture model for multi-label text categorization. ISCSLP 2014: 39-43 - 2013
- Blaise Hanczar, Edward R. Dougherty:
The reliability of estimated confidence intervals for classification error rates when only a single sample is available. Pattern Recognit. 46(3): 1067-1077 (2013) - 2012
- Dinesh R. Pai, Kenneth D. Lawrence, Ronald K. Klimberg, Sheila M. Lawrence:
Analyzing the balancing of error rates for multi-group classification. Expert Syst. Appl. 39(17): 12869-12875 (2012) - Atsunori Ogawa, Takaaki Hori, Atsushi Nakamura:
Recognition rate estimation based on word alignment network and discriminative error type classification. SLT 2012: 113-118 - Xizhao Wang, Meng Zhang, Shu-Xia Lu, Xu Zhou:
A total error rate multi-class classification. SMC 2012: 964-969 - 2011
- Kestutis Ducinskas, Lijana Stabingiene:
Expected Bayes Error Rate in Supervised Classification of Spatial Gaussian Data. Informatica 22(3): 371-381 (2011) - 2009
- Hie-Choon Chung, Chien-Pai Han:
Conditional confidence intervals for classification error rate. Comput. Stat. Data Anal. 53(12): 4358-4369 (2009) - Ji-Hyun Kim:
Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. Comput. Stat. Data Anal. 53(11): 3735-3745 (2009) - Shiueng-Bien Yang:
C-fuzzy variable-branch decision tree with storage and classification error rate constraints. J. Electronic Imaging 18(4): 043013 (2009) - 2008
- Hung-Shin Lee, Berlin Chen:
Improved Linear Discriminant Analysis Considering Empirical Pairwise Classification Error Rates. ISCSLP 2008: 149-152 - 2007
- Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen:
Classification based upon gene expression data: bias and precision of error rates. Bioinform. 23(11): 1363-1370 (2007) - Kiran S. Balagani, Vir V. Phoha:
On the Relationship Between Dependence Tree Classification Error and Bayes Error Rate. IEEE Trans. Pattern Anal. Mach. Intell. 29(10): 1866-1868 (2007)
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