敲诈
发表于 2025-3-23 13:11:46
http://reply.papertrans.cn/87/8619/861858/861858_11.png
抛媚眼
发表于 2025-3-23 14:36:07
Teemu Hanhelatify the best amongst . theories in an ILP search. The basic problem considered is that of selecting the best one of . (. ≥ 2) binomial populations on the basis of the observed frequency of ‘success’ on . observations. In the statistical formulation of the problem the experimenter specifies that he
矿石
发表于 2025-3-23 21:40:54
Jani Kukkolaion, deduction, calculation and invention. We describe the HR system which performs a novel ILP routine called automated theory formation. This combines inductive and deductive reasoning to form clausal theories consisting of classification rules and association rules. HR generates definitions using
PLIC
发表于 2025-3-24 01:51:29
http://reply.papertrans.cn/87/8619/861858/861858_14.png
Conducive
发表于 2025-3-24 04:27:01
Jouni Peltonen mostly by empirical means. Learning in DLs is however worthwhile, since both Horn logic and description logics are widely used knowledge representation formalisms, their expressive powers being incomparable (neither includes the other as a fragment). Unlike most approaches to learning in descriptio
连累
发表于 2025-3-24 09:25:43
Daniel Tröhlerwhich are both applicable to incomplete data. We define goal recognition as a task of identifying a goal from an action sequence and plan recognition as that of discovering a plan for the goal consisting of goal-subgoal structure respectively. To achieve these tasks, in particular from incomplete da
FIG
发表于 2025-3-24 12:53:23
http://reply.papertrans.cn/87/8619/861858/861858_17.png
改变
发表于 2025-3-24 16:14:54
http://reply.papertrans.cn/87/8619/861858/861858_18.png
项目
发表于 2025-3-24 21:04:04
Kimmo Kontio,Maximilian Sailering scenarios. In many real-world applications, acquiring large amounts of training data can be difficult or impossible. This paper presents an efficient and explainable method for few-shot learning from images using inductive logic programming (ILP). ILP utilises logical representations and reasoni
难听的声音
发表于 2025-3-25 00:28:57
Dieter Timmermann for features of Markov networks. Learning the structure of MLNs is performed by state-of-the-art methods by maximizing the likelihood of a relational database. This can lead to suboptimal results given prediction tasks. On the other hand better results in prediction problems have been achieved by d