Cross-validation

Results: 663



#Item
11Machine learning / Artificial intelligence / Learning / Statistics / Multi-label classification / Boosting / Statistical classification / Resampling / Bootstrapping / Supervised learning / Pattern recognition / Cross-validation

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
12Statistics / Statistical models / Psychometrics / Machine learning / Educational psychology / Estimation theory / Item response theory / Rasch model / Cross-validation / Regression analysis / SAT

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
13Machine learning / Learning / Statistics / Artificial intelligence / Statistical classification / Model selection / Support vector machine / Cross-validation / K-nearest neighbors algorithm / Ensemble learning / Kernel method / Pattern recognition

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
14Machine learning / Statistical classification / Statistics / Artificial intelligence / Learning / Support vector machine / Recommender system / K-nearest neighbors algorithm / Naive Bayes classifier / Pattern recognition / Cross-validation / Classifier

“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
15Machine learning / Learning / Statistics / Cross-validation / Probably approximately correct learning / Degrees of freedom / Cognition / Stability / Generalization error

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
16Statistics / Machine learning / Artificial intelligence / Learning / Statistical inference / Cross-validation / Bootstrapping / Test set / Overfitting / Statistical classification / Pruning / Validation

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
17Computing / Internet / Microsoft / Cross-platform software / PeeringDB / Peering / London Internet Exchange / WHOIS / Data validation / Outlook.com / Database / Email

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
18Prediction / Information / Computing / Network performance / Streaming / Telecommunications engineering / Teletraffic / Data management / Machine learning / Cross-validation / Quality of service / Forecasting

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
19Statistics / Probability / Mathematical analysis / Estimation theory / Probability distributions / Stable distributions / Statistical theory / Machine learning / Maximum likelihood estimation / Covariance / Multivariate normal distribution / Normal distribution

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
20Statistical classification / Statistics / Multivariate statistics / Data / Support vector machine / K-nearest neighbors algorithm / Hyperparameter optimization / Cross-validation

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
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