Error detection and correction
In coding theory, the Wozencraft ensemble is a set of linear codes in which most of codes satisfy the Gilbert-Varshamov bound. It is named after John Wozencraft, who proved its existence. The ensemble is described by , who attributes it to Wozencraft. used the Wozencraft ensemble as the inner codes in his construction of strongly explicit asymptotically good code. (Wikipedia).
From playlist Music.
http://www.mekanizmalar.com A wobbler is usually the first type engine made by small engine builders. The wobbler does not need tiny moving valves which makes manufacturing simple.
From playlist Engines
DesmosLIVE: An Exploration of Desmos + Mathalicious
Kate Nowak of Mathalicious explores a few Mathalicious lessons with Desmos
From playlist Desmos LIVE
Symphony of the Rings - Linking Rings
With some moves from Jeff McBride and Dan Harlan
From playlist My Magic
WorleyDR Podcast Fan Art Just a tiny ball of flame as some WorleyDR Fan Art. Check out the channel if you haven't done so already! :) WorleyDR Podcast - https://www.youtube.com/channel/UCo9w3M_6cI2QOw1OXUCSspA
From playlist AI Animations
Belly - Gepetto (Official Video)
Subscribe to 4AD here: http://bit.ly/4ADYouTube Belly's second single 'Gepetto' taken from their debut 'Star' (http://4ad.com/releases/114) - featuring Tanya Donelly (formerly of Throwing Muses and The Breeders), Chris Gorman and Tom Gorman. Bass on the first Belly album comes from former
From playlist If only Jerm had played the forum
RubyConf 2009 - Polishing Rubygems by: Yehuda Katz
Help us caption & translate this video! http://amara.org/v/GX5J/
From playlist RubyConf 2009
Deep Ensembles: A Loss Landscape Perspective (Paper Explained)
#ai #research #optimization Deep Ensembles work surprisingly well for improving the generalization capabilities of deep neural networks. Surprisingly, they outperform Bayesian Networks, which are - in theory - doing the same thing. This paper investigates how Deep Ensembles are especially
From playlist Papers Explained
Evgeni Dimitrov (Columbia) -- Towards universality for Gibbsian line ensembles
Gibbsian line ensembles are natural objects that arise in statistical mechanics models of random tilings, directed polymers, random plane partitions and avoiding random walks. In this talk I will discuss a general framework for establishing universal KPZ scaling limits for sequences of Gib
From playlist Columbia Probability Seminar
From playlist Contributed talks One World Symposium 2020
On the efficiency and Consistency of covariance localisation... - Farchi - Workshop 2 - CEB T3 2019
Farchi (ENPC, FR) / 13.11.2019 On the efficiency and Consistency of covariance localisation in the ensemble Kalman filter ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/Institut
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Ensemble Learning | Ensemble Learning In Machine Learning | Machine Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=EnsembleLearning&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://www.simplilear
Ensemble multiple models using VotingClassifer or VotingRegressor
Want to improve your classifier's accuracy? Create multiple models and ensemble them using VotingClassifier! P.S. VotingRegressor is also available 👉 New tips every TUESDAY and THURSDAY! 👈 🎥 Watch all tips: https://www.youtube.com/playlist?list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6 🗒️ Code
From playlist scikit-learn tips
PySINDy tutorial 4: robust sparse system identification by ensembling
PySINDy (https://github.com/dynamicslab/pysindy) is a Python package that provides tools for applying the sparse identification of nonlinear dynamics (SINDy) approach to data-driven model discovery. In this tutorial video, we show how PySINDy provides ensembling and library ensembling meth
From playlist Research Abstracts from Brunton Lab
Dyson Brownian motion, free fermions and connections to Random Matrix Theory by Gregory Schehr
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
Gaussian approximations in smoothers and filters... - Morzfeld - Workshop 2 - CEB T3 2019
Morzfeld (U Arizona, USA) / 13.11.2019 Gaussian approximations in smoothers and filters for data assimilation ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincar
From playlist 2019 - T3 - The Mathematics of Climate and the Environment