Coding theory | Error detection and correction
In coding theory, rank codes (also called Gabidulin codes) are non-binary linear error-correcting codes over not Hamming but rank metric. They described a systematic way of building codes that could detect and correct multiple random rank errors. By adding redundancy with coding k-symbol word to a n-symbol word, a rank code can correct any errors of rank up to t = ⌊ (d − 1) / 2 ⌋, where d is a code distance. As an erasure code, it can correct up to d − 1 known erasures. A rank code is an algebraic linear code over the finite field similar to Reed–Solomon code. The rank of the vector over is the maximum number of linearly independent components over . The rank distance between two vectors over is the rank of the difference of these vectors. The rank code corrects all errors with rank of the error vector not greater than t. (Wikipedia).
What Are Error Intervals? GCSE Maths Revision
What are error Intervals and how do we find them - that's the mission in this episode of GCSE Maths minis! Error Intervals appear on both foundation and higher tier GCSE maths and IGCSE maths exam papers, so this is excellent revision for everyone! DOWNLOAD THE QUESTIONS HERE: https://d
From playlist Error Intervals & Bounds GCSE Maths Revision
04 Balancing Equations to find an error
In this video we find an error in a students work
From playlist skill 8 attempt 1
How to detect and correct an error using the Hamming Code. Hamming codes are a type of linear code, see link for intro to linear code: https://www.youtube.com/watch?v=oYONDEX2sh8 Questions? Feel free to post them in the comments and I'll do my best to answer!
From playlist Cryptography and Coding Theory
Hamming Code For Error Detection And Correction | Hamming Code Error Correction | Simplilearn
In this video on "Hamming Code for Error Detection," we will look into the introductory knowledge related to the network technique of hamming code. This network will allow us to detect and correct errors on the receiver side. Explained in the stepwise format for proper clarification. Topi
From playlist Networking
From playlist Generalization and Evaluation
Error-Correcting Codes - Swastik Kopparty
Swastik Kopparty Institute for Advanced Study March 23, 2011 For more videos, visit http://video.ias.edu
From playlist Mathematics
Parametric Linear System Solving with Error Correction
Cleveland Waddell, Evergreen State College Title: Parametric Linear System Solving with Error Correction. CUNY Symbolic-Numeric Computing Seminar, Thursday, September 26
From playlist Fall 2019 Symbolic-Numeric Computing Seminar
Polynomial Maps With Noisy Input-Distributions - Jop Briet
Workshop on Additive Combinatorics and Algebraic Connections Topic: Polynomial Maps With Noisy Input-Distributions Speaker: Jop Briet Affiliation: Centrum Wiskunde & Informatica Date: October 25, 2022 A problem from theoretical computer science posed by Buhrman asks to show that a certa
From playlist Mathematics
[Rust] Advent of Code 2021 - Day 10
This is an archive copy of day 10 of Advent of Code 2021. Advent of Code (https://adventofcode.com/) is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like. -- Watch live at https://www.twitc
From playlist Advent of Code 2021
Cleanlab: Making AI Work with Messy, Real-World Healthcare and NLP Data
Presented by: Curtis Northcutt - CEO & Co-Founder at Cleanlab I'll start the talk with an overview of cleanlab 2.0, a powerful open-source package that lets you find and fix label errors and data quality issues in *any* labeled dataset... in just a few lines of code. Next, I'll share a (v
From playlist Healthcare NLP Summit 2022
Lin Lin - Large scale hybrid DFT functionals: fast algorithms and finite-size effects - IPAM at UCLA
Recorded 02 May 2022. Lin Lin of the University of California, Berkeley, Mathematics, presents "Large scale hybrid DFT functionals: fast algorithms and finite-size effects" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Abstract: I will discuss recent prog
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
Matrix factorisations and quantum error correcting codes
In this talk Daniel Murfet gives a brief introduction to matrix factorisations, the bicategory of Landau-Ginzburg models, composition in this bicategory, the Clifford thickening of a supercategory and the cut operation, before coming to a simple example which shows the relationship between
From playlist Metauni
working on the worst sorting algorithm ever! -- Watch live at https://www.twitch.tv/simuleios
From playlist worst sort
Isaac David Smith - Stabiliser formalism and the toric code
In his second talk on the subject of quantum error correcting codes, Isaac introduces the class of stabiliser codes and the toric code as a particular example. Building on the earlier talk of Will Troiani, he explains the connection between homology and cohomology of the torus and the oper
From playlist Quantum computing seminar
Locally Decodable Codes - Zeev Dvir
Computer Science/Discrete Mathematics Seminar II Topic: Locally Decodable Codes Speaker: Zeev Dvir Affiliation: Princeton University Date: January 24, 2023 A Locally Decodable Codes (LDC) is an error correcting code which allows the decoding of a single message symbol from a few queries
From playlist Mathematics
Paper Read Aloud: Evaluation Examples Are Not Equally Informative: Should NLP Leaderboards Change?
An experiment! I recorded this a while ago but didn't post it until now because ... 2020. A long time ago, a blind student once asked me to record myself reading my papers when he found that I do that anyway during my editing process, so I finally did it. This is an experiment, feedback
From playlist Papers Read Aloud
Error Intervals GCSE 9-1 Maths
Error intervals explained for GCSE 9-1 maths!
From playlist Paper 3 Revision
Rasa Livecoding: Dialect bot (Evaluating Classifiers)
Welcome to Rasa livecoding with Rachael! In this episode, Rachael will be working on evaluating the dialect classifiers we've built using K-Nearest Neighbors and XGBoost and working on picking the best one to use for our bot's custom action. What's livecoding? It's folks working on real p
From playlist Live Coding