Learning with Partially Labeled and Interdependent Data
Consider the supervised learning task, where the prediction function, which infers a predicted output for a given input, is learned over a finite set of labeled training examples, where each instance of this set is a pair constituted of a vector characterizing an observation in a given vector spac...
Сохранить в:
Главные авторы: | , |
---|---|
Формат: | |
Язык: | English |
Опубликовано: |
Springer
2015
|
Предметы: | |
Online-ссылка: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56140 |
Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|