Leonardo Severi
A new implementation of unsupervised outlier detection techniques.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
| Abstract: |
This project is about the implementation of well-known unsupervised learning algorithms in a Java Library called the Inceptive Machine Learning Engine (Inceptive MLE). We will present the MLE ecosystem, the added integrations, and the results obtained. |
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| Relators: | Paolo Garza |
| Academic year: | 2021/22 |
| Publication type: | Electronic |
| Number of Pages: | 62 |
| Additional Information: | Tesi secretata. Fulltext non presente |
| Subjects: | |
| Corso di laurea: | Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering) |
| Classe di laurea: | New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING |
| Ente in cotutela: | INSTITUT NATIONAL POLYTECHNIQUE DE GRENOBLE (INPG) - ENSIMAG (FRANCIA) |
| Aziende collaboratrici: | Inceptive |
| URI: | http://webthesis.biblio.polito.it/id/eprint/20499 |
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