Search Results: Semisupervised learning
Redirect to:
- From a modification: This is a redirect from a modification of the target's title or a closely related title. For example, the words may be rearranged.
- Please note that there are many more specific templates. Please use {{R from alternative spelling}}, {{R from alternative hyphenation}}, {{R from alternative punctuation}}, {{R from alternative spacing}} and {{R from misquotation}} where relevant; see subcategories of Category:Redirects from modifications for other options (capitals, abbreviations, diacritics, plurals, stylizations, transliteration, ligatures, different parts of speech, etc.). If you are unsure which to use, this template is fine; someone will make it more specific later if necessary.
- In cases of modification from distinctly longer or shorter names, please use {{R from long name}} or {{R from short name}}, respectively. In mainspace, an abbreviation should be tagged with {{R from initialism}} or, if it can be spoken like a word such as NASA and RADAR, use {{R from acronym}}.
- Use this rcat instead of {{R from other capitalisation}} and {{R from plural}} in namespaces other than mainspace for those types of modification. This may also apply to several other subcategories of modification; please check those templates' output before saving if using outside of mainspace.
Weak supervision
Senin, 2026-08-10 09:45:35Kotsiantis, Sotiris; Sgarbas, Kyriakos (2015-12-29). "Self-Trained LMT for Semisupervised Learning". Computational Intelligence and Neuroscience. 2016 3057481...
Click to read more »Multiple kernel learning
Minggu, 2026-06-07 09:42:34optimal weights α i {\displaystyle \alpha _{i}} and b {\displaystyle b} . Semisupervised learning approaches to multiple kernel learning are similar to other...
Click to read more »PU
Selasa, 2026-08-04 14:56:40per-unit system of power systems analysis PU learning, a collection of semisupervised techniques in machine learning PU leather or artificial leather, a material...
Click to read more »Martha White (computer scientist)
Minggu, 2025-12-28 22:09:18agents, including Temporal difference learning and optimization in semisupervised and unsupervised learning. White was a student at the University of...
Click to read more »Graph neural network
Selasa, 2026-08-11 18:11:16Graph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs. Because graphs usually do not have a canonical...
Click to read more »Concept
Jumat, 2026-08-07 12:27:36concepts of different music genres without explicit labels or guidance. Semisupervised learning is an intermediate form with occasional feedback. Supervision...
Click to read more »Named-entity recognition
Jumat, 2026-08-07 16:53:34typically require a large amount of manually annotated training data. Semisupervised approaches have been suggested to avoid part of the annotation effort...
Click to read more »List of datasets for machine-learning research
Selasa, 2026-08-11 23:42:59Research. 19: 315–354. doi:10.1613/jair.1199. Abney, Steven (2007). Semisupervised Learning for Computational Linguistics. CRC Press. ISBN 978-1-4200-1080-0...
Click to read more »Hierarchical temporal memory
Minggu, 2026-06-07 13:21:44Hierarchical temporal memory (HTM) is a biologically constrained machine intelligence technology developed by Numenta. Originally described in the 2004...
Click to read more »Co-training
Senin, 2026-07-06 00:31:08NY, USA: ACM: 86–93. CiteSeerX 10.1.1.37.4669. Abney, Steven (2007). Semisupervised Learning for Computational Linguistics. CRC Computer Science & Data...
Click to read more »Representation learning
Jumat, 2026-08-07 03:30:21learning is performed in an unsupervised way, it enables a form of semisupervised learning where features learned from an unlabeled dataset are then employed...
Click to read more »One-class classification
Selasa, 2026-03-10 15:55:36without these being labeled as such. This contrasts with other forms of semisupervised learning, where it is assumed that a labeled set containing examples...
Click to read more »Evolution of a random network
Senin, 2025-12-15 19:12:38transition in clustered complex networks. Zhang, P., Moore, C., & Zdeborová, L. (2014). Phase transitions in semisupervised clustering of sparse networks....
Click to read more »Manifold alignment
Minggu, 2026-04-26 03:41:37|citeseerx= (help) Ham, Ji Hun; Daniel D. Lee; Lawrence K. Saul (2005). "Semisupervised alignment of manifolds" (PDF). Proceedings of the Annual Conference...
Click to read more »