Cross-validation

Results: 663



#Item
21Robust Single-View Instance Recognition David Held, Sebastian Thrun, Silvio Savarese Abstract— Some robots must repeatedly interact with a fixed set of objects in their environment. To operate correctly, it is helpful

Robust Single-View Instance Recognition David Held, Sebastian Thrun, Silvio Savarese Abstract— Some robots must repeatedly interact with a fixed set of objects in their environment. To operate correctly, it is helpful

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Source URL: cvgl.stanford.edu

Language: English - Date: 2016-04-30 19:03:42
22Development of Improved Salmonella Mutagenicity QSAR Models Using Structural Fingerprints of Known Toxicophores Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, Naomi L. Kruhlak FDA Center for Drug Evaluation and

Development of Improved Salmonella Mutagenicity QSAR Models Using Structural Fingerprints of Known Toxicophores Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, Naomi L. Kruhlak FDA Center for Drug Evaluation and

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Source URL: www.leadscope.com

Language: English - Date: 2016-01-15 17:48:32
23Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili

Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
24Technical Note: Co-kriging with the gstat package of the R environment for statistical computing D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth

Technical Note: Co-kriging with the gstat package of the R environment for statistical computing D G Rossiter University of Twente, Faculty of Geo-Information Science & Earth

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Source URL: www.css.cornell.edu

Language: English - Date: 2015-10-21 13:33:25
25A Stratified Methodology for Classifier and Recognizer Evaluation Ross J. Micheals Terrance E. Boult  Vision and Software Technology (VAST) Lab

A Stratified Methodology for Classifier and Recognizer Evaluation Ross J. Micheals Terrance E. Boult Vision and Software Technology (VAST) Lab

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Source URL: www.vast.uccs.edu

Language: English - Date: 2003-12-24 21:58:14
26A working guide to boosted regression trees

A working guide to boosted regression trees

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Source URL: avesbiodiv.mncn.csic.es

Language: English - Date: 2009-07-14 19:00:00
27“Why Should I Trust You?” Explaining the Predictions of Any Classifier arXiv:1602.04938v1 [cs.LG] 16 FebMarco Tulio Ribeiro

“Why Should I Trust You?” Explaining the Predictions of Any Classifier arXiv:1602.04938v1 [cs.LG] 16 FebMarco Tulio Ribeiro

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Source URL: arxiv.org

Language: English - Date: 2016-02-16 20:24:32
28Enhancing Entity Linking by Combining NER Models Julien Plu1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France julien.plu|

Enhancing Entity Linking by Combining NER Models Julien Plu1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France julien.plu|

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Source URL: giusepperizzo.github.io

Language: English - Date: 2016-08-05 11:54:54
29Behavioral-Based Cheating Detection in Online First Person Shooters using Machine Learning Techniques Hashem Alayed  Fotos Frangoudes

Behavioral-Based Cheating Detection in Online First Person Shooters using Machine Learning Techniques Hashem Alayed Fotos Frangoudes

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Source URL: eldar.mathstat.uoguelph.ca

Language: English - Date: 2016-07-12 12:05:04