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Statistical analysis
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#	Item
601	C:DocumentsFiles2NEN REPORTen__2004_ss_final.wpd Add to Reading List Source URL: hydropower.inl.gov Language: English - Date: 2005-07-12 12:34:30 Statistical tests Ethology Analysis of variance Design of experiments Startle response F-test G factor Escape response
602	ICONIP2015 PROGRAM Renaissance Polat Istanbul Hotel 08 NovemberSunday) 13:00-18:00 The Registration Desk Open Add to Reading List Source URL: www.iconip2015.org Language: English - Date: 2015-10-16 03:01:34 Artificial neural networks Machine learning Computational neuroscience Mathematical psychology Deep learning Cellular neural network Boosting Cluster analysis Image segmentation Statistical classification Convolutional neural network Book:Machine Learning The Complete Guide
603	We present a new computational technique to detect and analyze statistically significant geographic variation in language. Our metaanalysis approach captures statistical properties of word usage across geographical regio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Sociolinguistics Historical linguistics Language change Meta-analysis Analysis Variation
604	Comparing Systems Using Sample Data Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Add to Reading List Source URL: www.cs.wustl.edu Language: English - Date: 2008-11-05 11:12:44 Statistical inference Measurement Summary statistics Regression analysis Confidence interval Econometrics Sample size determination Standard error Standard deviation Errors and residuals Statistics Tolerance interval
605	Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment Zhuowen Tu1 , Xiang Sean Zhou3 , Adrian Barbu2 , Luca Bogoni3 , Dorin Comaniciu2 1 Lab of Neuro Imaging, Dept. of Neurology, UCLA 2 Integrated D Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-03-28 17:53:00 Ensemble learning AdaBoost Cascading classifiers Boosting Polyp Supervised learning Classifier Linear discriminant analysis Statistical classification ViolaJones object detection framework
606	Special Session on Evolutionary Machine Learning for Image Analysis and Pattern Recognition Organisers:  Muhammad Iqbal School of Engineering and Computer Science, Victoria University of Wellington, New Zealand. Email Add to Reading List Source URL: www.ies-2016.org Language: English - Date: 2016-05-19 03:43:44 Machine learning Formal sciences Evolution Evolutionary computation Computer science Pattern recognition IEEE Transactions on Evolutionary Computation Statistical classification Feature extraction Book:Machine Learning The Complete Guide Outline of evolution
607	Feature Selection for Highly Skewed Sentiment Analysis Tasks Can Liu Indiana University Bloomington, IN, USA Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-07-28 17:16:46 Machine learning Statistical classification Dimension reduction Feature detection Natural language processing Binary classification Sentiment analysis Feature selection Rough set Naive Bayes classifier Accuracy and precision Feature extraction
608	CAM Centre for Applied Microeconometrics Department of Economics University of Copenhagen http://www.econ.ku.dk/CAM/ Add to Reading List Source URL: www.econ.ku.dk Language: English - Date: 2011-10-17 22:28:39 Statistical theory Regression analysis Statistical models Econometrics Robust statistics Semiparametric model Instrumental variable Completeness Nonparametric statistics
609	Improved, Nearly Exact, Statistical Inference with Robust and Clustered Covariance Matrices using Effective Degrees of Freedom Corrections Alwyn Young London School of Economics This Draft: January 2016 Add to Reading List Source URL: personal.lse.ac.uk Language: English - Date: 2016-01-15 19:05:57 Regression analysis Statistical theory Parametric statistics Econometrics Probability distributions Normal distribution Ordinary least squares Variance Covariance Degrees of freedom Bias of an estimator Heteroscedasticity
610	ICIP2002: the 9th IEEE International Conference on Image processing, Rochester, New York, Sep 22-24, 2002 GAIT RECOGNITION BASED ON PROCRUSTES SHAPE ANALYSIS* Liang Wang, Huazhong Ning, Weiming Hu, Tieniu Tan National L Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2004-10-04 17:00:56 Biometrics Terrestrial locomotion Multivariate statistics Computer vision Procrustes analysis Gait analysis Shape Procrustes Gait Pattern recognition Statistical shape analysis Silhouette

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