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Random sample
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71	NRES 798 — Lab 4 RVs and distributions Assume that the proportion of female moose in a population is p = 0.6. We model moose observations as a random process with a sample space {f emale, male}. Define a random variabl Add to Reading List Source URL: web.unbc.ca Language: English - Date: 2013-01-31 19:01:18
72	Online Robust Dictionary Learning Cewu Lu Jianping Shi Jiaya Jia The Chinese University of Hong Kong {cwlu,jpshi,leojia}@cse.cuhk.edu.hk Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2013-04-16 04:36:34 Statistics Robust statistics Machine learning Statistical theory Regression analysis Estimation theory Sparse dictionary learning Outlier Random sample consensus Iteratively reweighted least squares K-SVD Sparse approximation
73	This Washington Post-ABC News poll was conducted by telephone September 7-10, 2015, among a random national sample of 1,003 adults, including landline and cell phone respondents. Results have a 3.5 point error margin. Sa Add to Reading List Source URL: assets.documentcloud.org Language: English - Date: 2015-09-25 09:00:34
74	Eurographics Symposium on Geometry ProcessingM. Desbrun, H. Pottmann (Editors) Robust Global Registration Natasha Gelfand † ‡ Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2005-06-02 18:38:48 Feature detection Computer vision Vision Artificial intelligence Image processing Shape context Speeded up robust features Feature Outline of object recognition Image registration Random sample consensus Generalised Hough transform
75	PS 151B Spring 2006 Homework Four 1. What is the main claim of the Central Limit Theorem? 2. In a random sample of size nA from group A, we observe pˆ A turning out to vote. In a random sample from group B of size nB we Add to Reading List Source URL: jackman.stanford.edu Language: English - Date: 2010-12-13 00:41:25
76	Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation Avrim Blum Add to Reading List Source URL: hunch.net Language: English - Date: 2003-09-18 19:44:11 Statistics Machine learning Learning Artificial intelligence Design of experiments Hypothesis testing Nonparametric statistics Stability Generalization error Cross-validation Random sample consensus Statistical hypothesis testing
77	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2011-06-29 13:31:24 Artificial intelligence Statistics Mathematics Machine learning Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Random sample consensus Mixture model Simultaneous localization and mapping
78	cvpr07-benchmark-final.dvi Add to Reading List Source URL: www.cis.jhu.edu Language: English - Date: 2007-06-01 19:04:15 Algebra Mathematics Linear algebra Functional analysis Random sample consensus SRI International Image segmentation Structure from motion Spectral clustering Linear subspace Motion estimation Market segmentation
79	Waipi‘o Valley Study Workplan – Aquatic Insects Monitoring Section Add to Reading List Source URL: hbs.bishopmuseum.org Language: English - Date: 2015-04-24 00:13:06 Survey methodology Randomness Simple random sample Statistics Sampling techniques Sampling
80	ftp://ftp.electionstudies.org/ftp/nes/studypages/1998post/1998p Add to Reading List Source URL: www.electionstudies.org Language: English - Date: 2009-10-19 14:52:20 Response rate Sample size determination Random sample Sample Survey methodology Nintendo Entertainment System MSAS Statistics Sampling Science

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