在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
一般信度网的精确推理是一个NPC问题。
Exact inference on general belief networks is a NPC problem.
本论文详细研究了信度网精确推理、信度网学习和信度网分类有关内容。
This dissertation focuses on efficient exact inference on belief networks, learning belief networks from data, and classification using belief networks.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
语义网的关键推理问题可以化为公式的可满足性判定问题。
The key reasoning tasks of the semantic Web can be reduced to deciding the satisfiability of formulas.
为什么不在类域网VB。类型推理工作？
推理算法是信度网学习和应用的基础。
The inference algorithm is the basis of learning and application in belief network.
语义网；本体；自适应学习；学习者模型；知识管理；智能推理；认知能力；建构主义； 语义距离； 语义相似度。
Semantic Web; Ontology; Adaptive Learning; Learner Model; Knowledge Management; Intelligent Reasoning; Cognitive Ability; Constructivism; Semantic Distance; Semantic Similarity.
从基于案例推理技术的理论出发，采用物元的知识表示方法，定义了物元可拓与或网。
This paper, using the casebased reasoning techniques, adopts a methodology of extension information representation. And matter element extension information AND/OR nets is defined.
详细研究了PGP的信任模型———信任网，给出其信任结构及信任推理过程。
The PGP's trust model, web of trust, is discussed in detail. The trust architecture and reasoning are presented.
提出了结合人工神经网和符号推理的多重故障诊断方法，给出了该方法的定义和算法。
A new approach which combines ANN and symbolic inference is presented, and its definitions and algorithms are given.
本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。
This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
该系统可以在对电话网逻辑描述的基础上，通过推理得到动态选路方案。
Based on the logic model of the problem of dynamic routing telephone network, LMBDR can give the plan of routing telephone network.
本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。
This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。
This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
文本推理在自然语言处理的应用中占有极为重要的位置，本文介绍了基于知网的一种推理方法，该方法以语义网络的形式表示知网中的知识，利用“标记传递”实现推理。
Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.
提出了一种新的基于代数的模糊Petri网逆向推理算法。
This paper proposes a new backward reasoning algorithm based on algebra.
提出了一种新的基于代数的模糊Petri网逆向推理算法。
This paper proposes a new backward reasoning algorithm based on algebra.
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