classification noise Latest Research Papers

Classification noise detection based SMO algorithm

Optik ◽

10.1016/j.ijleo.2016.05.018 ◽

2016 ◽

Vol 127 (17) ◽

pp. 7021-7029 ◽

Cited By ~ 6

Author(s):

Yueguo Luo ◽

Zhongyang Xiong ◽

Shuyin Xia ◽

Haijun Tan ◽

Jianping Gou

Keyword(s):

Noise Detection ◽

Smo Algorithm ◽

Classification Noise

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Relative density-based classification noise detection

Optik ◽

10.1016/j.ijleo.2014.08.091 ◽

2014 ◽

Vol 125 (22) ◽

pp. 6829-6834 ◽

Cited By ~ 10

Author(s):

Shu-yin Xia ◽

Zhong-yang Xiong ◽

Yun He ◽

Kuang Li ◽

Li-mei Dong ◽

...

Keyword(s):

Relative Density ◽

Noise Detection ◽

Classification Noise

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PAC-learning in the presence of one-sided classification noise

Annals of Mathematics and Artificial Intelligence ◽

10.1007/s10472-012-9325-7 ◽

2012 ◽

Vol 71 (4) ◽

pp. 283-300 ◽

Cited By ~ 1

Author(s):

Hans Ulrich Simon

Keyword(s):

Pac Learning ◽

Classification Noise

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Learning Boolean functions in AC0 on attribute and classification noise—Estimating an upper bound on attribute and classification noise

Theoretical Computer Science ◽

10.1016/j.tcs.2011.04.047 ◽

2011 ◽

Vol 412 (35) ◽

pp. 4650-4660

Author(s):

Akinobu Miyata ◽

Jun Tarui ◽

Etsuji Tomita

Keyword(s):

Upper Bound ◽

Boolean Functions ◽

Learning Boolean Functions ◽

Classification Noise

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Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm

Lecture Notes in Computer Science - Artificial Immune Systems ◽

10.1007/978-3-642-22371-6_17 ◽

2011 ◽

pp. 173-186 ◽

Cited By ~ 7

Author(s):

Feng Gu ◽

Jan Feyereisl ◽

Robert Oates ◽

Jenna Reps ◽

Julie Greensmith ◽

...

Keyword(s):

Dendritic Cell ◽

Dendritic Cell Algorithm ◽

Classification Noise

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The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2010.03.001 ◽

2010 ◽

Vol 101 (7) ◽

pp. 1622-1637 ◽

Cited By ~ 12

Author(s):

Yingtao Bi ◽

Daniel R. Jeske

Keyword(s):

Logistic Regression ◽

Discriminant Analysis ◽

Classification Noise

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Bagging Decision Trees on Data Sets with Classification Noise

Lecture Notes in Computer Science - Foundations of Information and Knowledge Systems ◽

10.1007/978-3-642-11829-6_17 ◽

2010 ◽

pp. 248-265 ◽

Cited By ~ 16

Author(s):

Joaquín Abellán ◽

Andrés R. Masegosa

Keyword(s):

Decision Trees ◽

Data Sets ◽

Classification Noise

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Random classification noise defeats all convex potential boosters

Machine Learning ◽

10.1007/s10994-009-5165-z ◽

2009 ◽

Vol 78 (3) ◽

pp. 287-304 ◽

Cited By ~ 70

Author(s):

Philip M. Long ◽

Rocco A. Servedio

Keyword(s):

Classification Noise

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An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise

Lecture Notes in Computer Science - Symbolic and Quantitative Approaches to Reasoning with Uncertainty ◽

10.1007/978-3-642-02906-6_39 ◽

2009 ◽

pp. 446-456 ◽

Cited By ~ 4

Author(s):

Joaquín Abellán ◽

Andrés R. Masegosa

Keyword(s):

Experimental Study ◽

Decision Trees ◽

Bagging Ensemble ◽

Classification Noise

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Random classification noise defeats all convex potential boosters

Proceedings of the 25th international conference on Machine learning - ICML '08 ◽

10.1145/1390156.1390233 ◽

2008 ◽

Cited By ~ 15

Author(s):

Philip M. Long ◽

Rocco A. Servedio

Keyword(s):

Classification Noise

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classification noise
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Classification noise detection based SMO algorithm

Relative density-based classification noise detection

PAC-learning in the presence of one-sided classification noise

Learning Boolean functions in AC0 on attribute and classification noise—Estimating an upper bound on attribute and classification noise

Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm

The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise

Bagging Decision Trees on Data Sets with Classification Noise

Random classification noise defeats all convex potential boosters

An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise

Random classification noise defeats all convex potential boosters

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classification noiseRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Classification noise detection based SMO algorithm

Relative density-based classification noise detection

PAC-learning in the presence of one-sided classification noise

Learning Boolean functions in AC0 on attribute and classification noise—Estimating an upper bound on attribute and classification noise

Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm

The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise

Bagging Decision Trees on Data Sets with Classification Noise

Random classification noise defeats all convex potential boosters

An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise

Random classification noise defeats all convex potential boosters

classification noise
Recently Published Documents