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Cross-validation
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251	Data Mining Misconceptions #2: How Much Data … By Tim Graettinger “How much data do I need for data mining?” In my experience, this is the most-frequently-asked of all frequently-asked questions about data mining. Add to Reading List Source URL: www.discoverycorpsinc.com Language: English - Date: 2010-11-10 21:25:19 Data analysis Model selection Data mining Overfitting Cross-validation Mathematical model Predictive analytics Statistics Machine learning Regression analysis
252	Assessing the Availability of Users to Engage in Just-in-Time Intervention in the Natural Environment Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2014-09-25 11:46:27 Satellite navigation systems Command and control Global Positioning System Nuclear command and control Surveying Recall Trix Cross-validation Technology Military science Navigation
253	SalfordSystems_Vertical_cmyk Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:41:06 Business intelligence Econometrics Decision trees Predictive Model Markup Language ADAPA Cross-validation Pruning Data mining Nonparametric regression Statistics Regression analysis Machine learning
254	Notes 2 Statistical Machine Learning Overfitting, Model Selection, Cross Validation, Bias-Variance Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:33 Model selection Neural networks Lists by country Perceptron Hindu population in England & Wales Statistics Cross-validation Machine learning
255	2010 International Conference on Pattern Recognition The balanced accuracy and its posterior distribution Kay H. Brodersen∗† , Cheng Soon Ong∗ , Klaas E. Stephan† and Joachim M. Buhmann∗ ∗ Department † Ins Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical theory Biostatistics Psychometrics Cross-validation Receiver operating characteristic Accuracy and precision Binary classification Confusion matrix Support vector machine Statistics Machine learning Statistical classification
256	SalfordSystems_Vertical_cmyk Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:42:24 Econometrics Cross-validation Model selection Receiver operating characteristic Nonparametric regression Statistics Regression analysis Machine learning
257	Notes 5 Statistical Machine Learning Template Methods Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Search algorithms Cross-validation Model selection K-nearest neighbor algorithm Multivariate statistics Perceptron Supervised learning Statistics Machine learning Statistical classification
258	Investigation into the Robustness of Artificial Neural Networks for a Case Study in Civil Engineering Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:50:17 Neural networks Data analysis Computational statistics Artificial neural network Cross-validation Overfitting Training set Test set Connectionism Statistics Machine learning Computational neuroscience
259	SUPPLEMENTARY MATERIAL Model-based feature construction for multivariate decoding K.H. Brodersen, F. Haiss, C.S. Ong, F. Jung, M. Tittgemeyer, J.M. Buhmann, B. Weber, K.E. Stephan S1 Dataset 1 – experimental methods Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Evoked potentials Nervous system Cross-validation Machine learning Model selection Primary auditory cortex Mismatch negativity Neuroscience Cognitive science Electroencephalography
260	Notes 1 Statistical Machine Learning Overfitting, Model Selection, Cross Validation, Bias-Variance Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:35 Machine learning Model selection Lists by country Perceptron Hindu population in England & Wales Statistics Neural networks Cross-validation

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