Titlebook: Inductive Logic Programming; 16th International C Stephen Muggleton,Ramon Otero,Alireza Tamaddoni-Ne Conference proceedings 2007 Springer-V

FLINT

BRINK

conquer

Medley

Structuring Natural Language Data by Learning Rewriting Rules text is to use a structured term (or tree). We present a method for learning transformation rules, rewriting natural language texts into trees, where the input examples are couples (.). The learning process produces an ordered set of rules such that, applying these rules to a . gives the corresponding ..

Thyroxine

外貌

強(qiáng)制性

Angioplasty

詳細(xì)目錄

Generalized Ordering-Search for Learning Directed Probabilistic Logical Modelsd conditional probability distributions (CPDs) of directed probabilistic logical models. The algorithm upgrades the ordering-search algorithm for Bayesian networks. We use relational probability trees as a representation for the CPDs. We present experiments on blocks world domains, a gene domain and the Cora dataset.

聯(lián)想

Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networksa reduction of non-recursive LPADs with a finite Herbrand universe to Bayesian networks. This reduction makes it possible to learn such LPADs using standard learning techniques for Bayesian networks. Thus the class of learnable LPADs is extended.