Conceptio › Archive › arXiv (All)
arXiv (All) open access

HP-GSBS: Accelerating greedy state boundary search with reusable interval statistics

Zhao, Yanzhe et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
and-sciencecomputational-engineeringfinanceneurons-and-cognition
Greedy State Boundary Search (GSBS) identifies transitions between relatively stable neural activity patterns, but repeated candidate evaluation makes large analyses expensive. HP-GSBS is an open-source Python package that reorganizes the search around reusable interval contributions and correlation
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1401089
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive