FSASL
An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 2015.
Install / Use
/learn @csliangdu/FSASLREADME
FSASL
An unsupervised feature selection algorithm with adaptive structure learning.
The code is used to generate fully reproducible experimental results in [1].
[1]Liang Du and Yi-Dong Shen. Unsupervised Feature Selection with Adaptive Structure Learning. in Proceedings of the 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 209-218, Sydney, Australia, August 10–13, 2015.
Related Skills
YC-Killer
2.7kA library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
best-practices-researcher
The most comprehensive Claude Code skills registry | Web Search: https://skills-registry-web.vercel.app
groundhog
400Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
last30days-skill
19.1kAI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
