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corrselect: Fast and flexible predictor pruning for data analysis and modeling
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| Published in: | Journal of Open Source Software |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030191075983362 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Journal of Open Source Software |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:9134 |
| institution | FRELIP |
| journal_source_facet | Journal of Open Source Software |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | corrselect: Fast and flexible predictor pruning for data analysis and modeling Computer Science & Information Science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Computer Science & Information Science Computer Science & IT Engineering & Technology Computer Science & Information Science Computer Science & IT Engineering & Technology |
| subject_facet | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| title | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_auth | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_full | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_fullStr | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_full_unstemmed | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_short | corrselect: Fast and flexible predictor pruning for data analysis and modeling |
| title_sort | corrselect: fast and flexible predictor pruning for data analysis and modeling |
| topic | Computer Science & Information Science Computer Science & IT Engineering & Technology |
| url | https://joss.theoj.org/papers/10.21105/joss.09539 |