
Başlık:
Handling Uncertainty in Artificial Intelligence
Yazar:
Chaki, Jyotismita. author.
ISBN:
9789819953332
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XIII, 101 p. 42 illus., 2 illus. in color. online resource.
Seri:
SpringerBriefs in Computational Intelligence,
İçerik:
Introduction to handling uncertainty in artificial intelligence -- Probability and Bayesian Theory to Handle Uncertainty in artificial intelligence -- The Dempster-Shafer Theory to handle uncertainty in artificial intelligence -- Certainty factor and evidential reasoning to handle uncertainty in artificial intelligence -- A fuzzy logic-based approach to handle uncertainty in artificial intelligence -- Decision-making under uncertainty in artificial intelligence -- Applications of different methods to handle uncertainty in artificial intelligence.
Tüzel Kişi Ek Girişi:
Elektronik Erişim:
https://doi.org/10.1007/978-981-99-5333-2Kopya:
Rafta:*
Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
|---|---|---|---|---|---|
Arıyor... | E-Kitap | 527759-1001 | ONLINE | Arıyor... | Arıyor... |
