Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
votes
Geometric significance of the dimensional reduction part of spectral clustering?
Spectral embedding, the dimensional reduction part of spectral clustering, preserves topological features of the adjacency graph, not metric properties of the embedded data set. Your $W$ is an affinit …
1
vote
Adaboost for numeric dataset
Possible answer in Continuous Multistate Ada-boost method?. The SAMME adaboost method for multistate labels that you mention adds $log(K-1)$ to the $\alpha_t$ term used to weight the pts in the featur …