Speeding up parameter and rule learning for acyclic probabilistic logic programs

被引：0
|
作者：
Vieira de Faria, Francisco H.O. [1 ]
Gusmão, Arthur Colombini [1 ]
De Bona, Glauber [1 ]
Mauá, Denis Deratani [2 ]
Cozman, Fabio Gagliardi [1 ]
机构：
[1] Escola Politécnica, Universidade de São Paulo, Brazil
[2] Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil
来源：
International Journal of Approximate Reasoning | 2019年 / 106卷
基金：
巴西圣保罗研究基金会;
关键词：
Logic programming - Probabilistic logics - Image segmentation - Computer circuits - Learning algorithms - Maximum principle - Parameter estimation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：32 / 50
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