Cross-validation

Results: 663



#Item
11Efficient Online Evaluation of Big Data Stream Classifiers Albert Bifet Gianmarco De Francisci Morales

Efficient Online Evaluation of Big Data Stream Classifiers Albert Bifet Gianmarco De Francisci Morales

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Source URL: melmeric.files.wordpress.com

Language: English - Date: 2015-06-10 09:25:43
12Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

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Source URL: aribadernatal.com

Language: English - Date: 2016-06-29 00:36:46
13Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos Discovery S

Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos Discovery S

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Source URL: www.dsl-lab.org

Language: English - Date: 2004-02-18 20:07:17
14“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh

“Why Should I Trust You?” Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh

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Source URL: sameersingh.org

Language: English - Date: 2016-08-18 16:00:00
15Cross-validation for binary classification by real-valued functions: theoretical analysis Martin Anthony Department of Mathematics London School of Economics Houghton Street

Cross-validation for binary classification by real-valued functions: theoretical analysis Martin Anthony Department of Mathematics London School of Economics Houghton Street

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Source URL: www.maths.lse.ac.uk

Language: English - Date: 2000-04-03 14:24:41
16CHAPTER  Credibility: Evaluating What’s Been Learned  5

CHAPTER Credibility: Evaluating What’s Been Learned 5

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Source URL: aml.media.mit.edu

Language: English - Date: 2011-11-03 19:34:10
17PeeringDB 2.0 Matt Griswold <> 12 May, 2016

PeeringDB 2.0 Matt Griswold <> 12 May, 2016

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Source URL: chinog.org

Language: English - Date: 2016-05-14 23:07:05
18276  IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, VOL. 45, NO. 2, FEBRUARY 2015 Comparing and Combining Predictive Business Process Monitoring Techniques

276 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, VOL. 45, NO. 2, FEBRUARY 2015 Comparing and Combining Predictive Business Process Monitoring Techniques

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Source URL: www.infosys.tuwien.ac.at

Language: English - Date: 2015-02-16 10:03:27
19DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011

DEPARTMENT OF MATHEMATICS TECHNICAL REPORT Generalized Correlated Cross-Validation (GCCV) Patrick S. Carmack November 2011

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Source URL: uca.edu

Language: English - Date: 2011-11-16 11:21:11
20Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr

Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48