``A Mathematical Perspective of Machine Learning'' - Weinan E (Princeton) @ MAD+ (1 Arpil 2020)
Math and Data Plus
Jennifer Ryan: Exploiting approximation properties to improve filtering
Firedrake
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together ...
The Alan Turing Institute
Lecture 16: Numerical integration and differentiation (part I)
CS 205A: Mathematical Methods for Robotics, Vision, and Graphics.
Justin Solomon
Lecture 08: Trend filtering
Guest lecture by Professor Ryan Tibshirani. Lecture Date: Feb 04, 2016. http://www.stat.cmu.edu/~larry/=sml/
Jisu Kim
L02, Volker Blum, Practical implementations of DFT I: Technical foundations and numerical methods
Hands-on Workshop Density-Functional Theory and Beyond: Accuracy, Efficiency and Reproducibility in Computational Materials Science, Humboldt University, ...
fhitheory
Rob Stevenson: Convergence theory of adaptive finite element methods (AFEM)
Details of the proof of convergence of AFEM applied to elliptic PDEs will be presented. We introduce approximation classes, and prove that AFEMs converge ...
Hausdorff Center for Mathematics
Learning Models from Data with Non-Convex Optimization
Chandrajit Bajaj's lecture "Learning Models from Data with Non-Convex Optimization" at DASIV's Spring School 2018: Data and Models.
DASIV Smart State Center
Sparse codes for natural sounds
Google Tech Talks May, 20 2008 ABSTRACT The auditory neural code must serve a wide range of tasks that require great sensitivity in time and frequency and ...
GoogleTechTalks
Locally adapted hierarchical basis preconditioning (SIGGRAPH 2006 Presentation)
Locally adapted hierarchical basis preconditioning SIGGRAPH 2006 Presentation Richard Szeliski This paper develops locally adapted hierarchical basis ...
Research in Science and Technology
Statistical Models Lec 09 Random Forest and Regression Splines 1104 Fall 2017
Theja Tulabandhula
Lecture 16: Convexity
Lecture Date: 3/23/15.
Ryan T
Greg Fasshauer: Some recent insights into computing with positive definite kernels
Abstract: In this talk I will discuss recent joint work with Mike McCourt (SigOpt, San Francisco) that has led to progress on the numerically stable computation of ...
Centre International de Rencontres Mathématiques
47| Symbolic Computing in Matlab - Data Analysis and Visualization
See The Playlist: https://www.youtube.com/playlist?list=PLDcmCgguL9ryT4Eg1GvWrygRz-nIWg2U8 Data Analysis and Visualization is a Rich-full series ...
TO Courses
Wavelet | Wikipedia audio article
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Wavelet 00:02:13 1 Name 00:02:38 2 Wavelet theory 00:04:14 2.1 Continuous ...
wikipedia tts