inductive learningsymbolic learningpattern learningregression analysisBoolean functionsThere are two types of learning. One is symbol learning such as inductive learning in artificial intelligence and the other is pattern learning such as multivariate analysis and neural networking. This paper presents an ...
Journal of Experimental & Theoretical Artificial IntelligenceKORB K. 1995: Inductive learning and de- feasible inference. Journal for Experi- mental and Theoretical AI, 7, 291-324.Kevin B. Korb. Inductive learning and defeasible inference. Journal of Experimental and Theoreti- cal AI, 7:291{324...
The interrelation of rule generation and rule interpretation is analysed and suggestions to improve the performance of existing inductive learning systems, are forwarded.doi:10.1080/09528139108915296KALKANIS, G.CONROY, G.V.Taylor & Francis GroupJournal of Experimental & Theoretical Artificial Intelligence...
(1981), Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Method. Artificial Intelligence, v.16, 3.T. G. Dietterich and R. S. Michalski, Inductive learning of structural descriptions: Evaluation criteria and comparative review of selected methods, ...
期刊名称：Engineering Applications of Artificial Intelligence 第一作者：Emmanuel Pintelas 通讯作者：...
Inductive reasoning plays a major role in artificial intelligence (AI), which through data analysis, pattern recognition and inductive inferences at the bottom levels of data works its way up into top-level, most likely conclusions and recommendations for users. ...
The subjectivist view of probability is, particularly in the psychological and artificial intelligence community, known as the Bayesian approach — simple because the simple probabilistic identity which is Bayes' theorem (discussed below) arises so centrally in the process of belief revision. The ...
machine learning, data basesMachine learning(ML)is a major subfield of artificial intelligence(AI).It has been seen as a feasi- ble way of avoiding the knowledge bottleneck problem in knowledge-based systems development.Re- search on ML has concentrated in the main on inductive learning,a ...
high-fidelity datasets from either simulations or experiments can be expensive. In this work, a transfer-learning framework is explored to reduce the reliance on these expensive datasets by exploiting the cost-effectiveness of low-fidelity analyses in constructing extensive datasets, such as the invisci...
Artificial intelligence-based inductive learning method was analyzed. 分析了基于人工智能中的归纳学习方法,提出了一种针对挤压锻造工艺优化的基于数值仿真归纳知识的混合优化方法,并通过一个挤压锻造的实例验证了该方法的有效性。 更多例句>> 3) Induction learning 归纳学习 1. Furthermore, a hybrid learning mod...