In computational learning theory, sample exclusion dimensions arise in the study of exact concept learning with queries. In algorithmic learning theory, a concept over a domain X is a Boolean function over X. Here we only consider finite domains. A partial approximation S of a concept c is a Boolean function over such that c is an extension to S. Let C be a class of concepts and c be a concept (not necessarily in C). Then a specifying set for c w.r.t. C, denoted by S is a partial approximation S of c such that C contains at most one extension to S. If we have observed a specifying set for some concept w.r.t. C, then we have enough information to verify a concept in C with at most one more mind change. The exclusion dimension, denoted by XD(C), of a concept class is the maximum of the size of the minimum specifying set of c' with respect to C, where c' is a concept not in C. (Wikipedia).
How to calculate Samples Size Proportions
Introduction on how to calculate samples sizes from proportions. Describes the relationship of sample size and proportion. Like us on: http://www.facebook.com/PartyMoreStudyLess
From playlist Sample Size
Introduction to Sampling & Populations (1 of 4: Graphing the sample means)
More resources available at www.misterwootube.com
From playlist Data Analysis
Hypothesis Test: Two Population Proportions
This video explains how to conduct a hypothesis test on two population proportions. http://mathispower4u.com
From playlist Hypothesis Test with Two Samples
#21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch
From playlist Statistics Final Exam
A video on how to calculate the sample size. Includes discussion on how the standard deviation impacts sample size too. Like us on: http://www.facebook.com/PartyMoreStudyLess Related Video How to calculate Samples Size Proportions http://youtu.be/LGFqxJdk20o
From playlist Sample Size
Probability & Statistics (3 of 62) Definition of Sample Spaces & Factorials
Visit http://ilectureonline.com for more math and science lectures! In this video I will define what are sample spaces and factorials. Next video in series: http://youtu.be/EOk25Tb-1bM
From playlist Michel van Biezen: PROBABILITY & STATISTICS 1 BASICS
Sampling Techniques & Cautions (Full Length)
I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census. I introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. I discuss Stratified Random S
From playlist AP Statistics
Calculate Sample Size Interval of A Population Mean
How to calculate the sample size. Includes discussion and visualization of how sample sizes changes when standard deviation, margin of error changes too. Calculating Sample Size of A Proportion https://youtu.be/ni3YAUF7qy4 Derving Equation https://youtu.be/5LvL1kbNoCM Calculating z sco
From playlist Sample Size
Statistic vs Parameter & Population vs Sample
This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
Design for seven billion; design for one - Kat Holmes (Microsoft)
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From playlist O'Reilly Design Conference 2017 - San Francisco, California
Boosting Simple Learners - Shay Moran
Seminar on Theoretical Machine Learning Topic: Boosting Simple Learners Speaker: Shay Moran Affiliation: Google Date: May 5, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Spatial Point Data and Processes
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Gosia Konwerska & Eduardo Serna Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, m
From playlist Wolfram Technology Conference 2018
High density phases of hard-core lattice particle systems - Ian Jauslin
Members' Seminar Topic: High density phases of hard-core lattice particle systems Speaker: Ian Jauslin Affiliation: Member, School of Mathematics Date: October 30, 2017 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Excel Statistical Analysis 17: AND, OR, and NOT Logical Tests for COUNTIFS & FILTER Functions
Download Excel File: https://excelisfun.net/files/Ch04-ESA.xlsm pdf notes: https://excelisfun.net/files/Ch04-ESA.pdf Learn about the basics of Logical Tests: AND, OR and NOT. Lean how to count based on logical tests using COUNTIFS, FILTER and ROWS functions. Topics: 1. (00:00) Introduction
From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun
Dana Randall: Sampling algorithms and phase transitions
Markov chain Monte Carlo methods have become ubiquitous across science and engineering to model dynamics and explore large combinatorial sets. Over the last 20 years there have been tremendous advances in the design and analysis of efficient sampling algorithms for this purpose. One of the
From playlist Probability and Statistics
Fabio Toninelli - Ising model, Glauber dynamics and random tilings
In this talk I will give a panorama of results for the zero-temperature Glauber dynamics of the 3-dimensional (classical) Ising model. It is well known that, with suitable Dobrushin-type boundary conditions, the Boltzmann-Gibbs distribution of a 3d Ising interface at zero temperature coinc
From playlist 100…(102!) Years of the Ising Model
Elchanan Solomon (08/25/21): Dimensionality Reduction via Distributed Persistence: DIPOLE
Title: Dimensionality Reduction via Distributed Persistence: DIPOLE Abstract: We propose a new gradient-descent-based paradigm for dimensionality reduction, called DIPOLE, consisting of a loss function with two terms: a local metric term that forces the projection to be an isometry on sm
From playlist AATRN 2021
Advance Information AQA Paper 2 Calculator Predicted Maths GCSE May 2022 8300/2H (45 Min Paper A)
Do this paper online for free: https://www.onmaths.com/mock_exams/45-minute-paper-a-aqa-2022-may-paper-2-higher-prediction-with-advance-information/ This is the OnMaths.com predicted paper using the advance information for May 2022 AQA Maths GCSE Higher Paper 2 Calculator. The topics wit
From playlist 2022 Predictions With Advance Information
Lec 9 | MIT 3.320 Atomistic Computer Modeling of Materials
Advanced DFT: Success and Failure DFT Applications and Performance View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
The concept of “dimension” in measured signals
This is part of an online course on covariance-based dimension-reduction and source-separation methods for multivariate data. The course is appropriate as an intermediate applied linear algebra course, or as a practical tutorial on multivariate neuroscience data analysis. More info here:
From playlist Dimension reduction and source separation