mohlerm / eth-cil-exam-summary Goto Github PK
View Code? Open in Web Editor NEWThis project forked from groggi/eth-cil-exam-summary
Exam summary for Computational Intelligence Lab, ETH Zurich, SS16
License: Creative Commons Zero v1.0 Universal
This project forked from groggi/eth-cil-exam-summary
Exam summary for Computational Intelligence Lab, ETH Zurich, SS16
License: Creative Commons Zero v1.0 Universal
Coding Step and Dictionary update step in more detail; how it can be computed if space permits it.
There is not a lot about it; things one could add:
.difference haar/fourier (in general that different bases needed for different signals)
.advantage/disadvantage PCA vs fixed basis
.overcomplete dicts and their advantages, disadvantages (mainly inversion)
.noisy observations?
What do we need?
If we have space, we could add the formulas for empirical risk and L2 regularization.
Not sure if we discussed this before, but maybe we could add the coherence condition (Lecture 12, p.34).
So we're coming close to the exam :)
Is there anything you think that should be added or modified?
As discussed with @passuf, I think it would make sense to try to finish the exam summary until 16:00 (UTC+2).
@kilianrisse @Robin-des-Bois
This is missing completely since we don't really have space for it.
However, I think it is also pretty irrelevant since the lecture does not go into detail and only presents the general idea.
What do you think?
In lecture 4 we also discussed clustering stability, including:
We could consider adding those formulas to the summary, but I am not sure if this is relevant or if we have enough space. I can make a pull request if there is nothing more important we can add.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.