2601.15640v1.pdf
Extension
Size
4 MiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
595ec2e4d377e81e4a6eafde59e2576644142ea1a47ba5d146dbd4958695c12f
Annotations
Structured records describing the file.
Read moreTitle
An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types
Version
1.7
Page Count
48
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "595ec2e4d377e81e4a6eafde59e2576644142ea1a47ba5d146dbd4958695c12f",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.15640v1.pdf",
"size": 4151729
},
"source": {
"execution_id": "2c2d7aca-c8a7-48fe-b79e-ed23c42b7dc8",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 48,
"producer": "pikepdf 8.15.1",
"title": "An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types",
"version": "1.7"
},
"source": {
"execution_id": "4058d45c-952e-4d51-ae92-704c972edead",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 17
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17