Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
V mnohých oblastiach nášho každodenného života (napr. poľnohospodárstvo, lesníctvo, zdravotníctvo) sú klasifikované entity do dvoch binárnych tried (áno/nie, dostatočné/nedostatočné, zhubné/malígne atď.). Pre mnoho subjektov je toto rozhodnutie ťažké a potrebujeme ďalšiu triedu tzv. "možno", ktorá o...
Salvato in:
| Autore principale: | |
|---|---|
| Altri autori: | , , , , , , , |
| Natura: | Capitolo di libro |
| Lingua: | inglese |
| Soggetti: | |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi: Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
- Interpretable AI /
- Classification by Ordinal Sums of Conjunctive and Disjunctive Functions for Explainable AI and Interpretable Machine Learning Solutions
- Risks and Opportunities of AI Textual Models, e.g., Chat GPT, in Education
- Interaktívne prezentovanie triediacich algoritmov
- Comparison of Execution Efficiency of an Index Sort and Reference Sort of Structured Data in the Quicksort Algorithm
- Fuzzy Classification by Aggregation Function