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Cross-validation
Results: 663

#	Item
291	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:03:53 Mind One-shot learning Support vector machine Perceptual learning Cross-validation Machine learning Statistics Learning Artificial intelligence
292	GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net Nikos Vlassis1 and Enrico Glaab2,* 1 Add to Reading List Source URL: orbilu.uni.lu Language: English - Date: 2015-02-05 23:30:06 Gene expression RNA RNA splicing Transcriptome Convex optimization Cross-validation Bioinformatics Biology Statistics Applied mathematics
293	Joint Kernel Support Estimation for Structured Prediction Christoph H. Lampert, Matthew B. Blaschko {chl, blaschko}@tuebingen.mpg.de Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:12:39 Support vector machines Pattern recognition Kernel Cross-validation Perceptron Regression analysis Structured SVM Least squares support vector machine Statistics Machine learning Statistical classification
294	Are Scripting Languages Any Good? A Validation of Perl, Python, Rexx, and Tcl against C, C++, and Java A chapter for Advances in Computers, Volume 58 Lutz Prechelt ([removed]) Fakult¨at f¨ur Informatik Add to Reading List Source URL: page.mi.fu-berlin.de Language: English - Date: 2005-01-11 04:54:07 Scripting languages Cross-platform software REXX Perl Programming language Python Tcl Expect Glue language Computing Software engineering Software
295	Multiclass Boosting with Hinge Loss based on Output Coding Tianshi Gao Electrical Engineering Department, Stanford, CA[removed]USA Daphne Koller Computer Science Department, Stanford, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2012-08-02 01:49:01 Learning Ensemble learning Support vector machine Multiclass classification Perceptron Hinge loss AdaBoost Cross-validation Statistics Machine learning Statistical classification
296	Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500 Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 11:12:33 Computational neuroscience Multivariate statistics Regression analysis Linear discriminant analysis Logistic regression Cross-validation Neural network Statistical power Statistical model Statistics Machine learning Statistical classification
297	Estimating trends in the total fertility rate with uncertainty using imperfect data: Examples from West Africa Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-05-12 17:28:54 Fertility Measurement Total fertility rate Econometrics Demographic and Health Surveys Cross-validation Linear regression Observational error Sub-replacement fertility Statistics Demography Population
298	Microsoft Word - draft_SGC_2014_MM Add to Reading List Source URL: smartgrid.ucla.edu Language: English - Date: 2014-10-08 15:59:45 K-nearest neighbor algorithm Cluster analysis Cross-validation K-means clustering Forecasting Statistics Machine learning Data analysis
299	Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks Su-In Lee Vassil Chatalbashev David Vickrey Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-08-28 13:50:20 Learning Supervised learning Relevance Cross-validation Prior probability Machine learning Statistics Science
300	Fast Demand Forecast of Electric Vehicle Charging Stations for Cell Phone Application Mostafa Majidpour, Charlie Qiu, Ching-Yen Chung, Peter Chu, Rajit Gadh Hemanshu R. Pota Add to Reading List Source URL: smartgrid.ucla.edu Language: English - Date: 2014-08-07 11:57:50 Information science Search algorithms K-nearest neighbor algorithm Statistical classification Algorithm Cross-validation Charging station Artificial neural network Smart grid Machine learning Artificial intelligence Mathematics

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